```json { "table_name": "2017", "table_type_tags": [ {"tag": "dimension", "confidence": 0.95} ], "primary_type": "dimension", "insufficient_evidence": false, "entity": { "columns": ["Country"], "unique_per_row": true }, "time_axis": null, "reasoning": "Country is the entity with Uniqueness 1.000 (155 unique values in 155 rows). Happiness.Rank also has Uniqueness 1.000, establishing each row as a unique country-year snapshot. The table name '2017' indicates this is one period of a time series (siblings 2015, 2016, 2018, 2019 exist), but standalone this table has no time axis — it is a cross-sectional catalog of countries with their 2017 happiness metrics. The year is implicit in the table name, not encoded in the rows. All other columns (Happiness.Score, GDP, Family, etc.) are descriptive attributes of each country's 2017 state. No action or change is recorded; each row IS information about one country in 2017 → dimension." } ```