Triple
T3216166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1924 Winter Olympics |
E67399
|
entity |
| Predicate | recognizedAsFirstWinterGames |
P46270
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [1924 Winter Olympics, recognizedAsFirstWinterGames, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedAsFirstWinterGames Context triple: [1924 Winter Olympics, recognizedAsFirstWinterGames, yes]
-
A.
firstWinterGamesCity
Indicates the city where an entity (such as a country, team, or athlete) first participated in the Winter Olympic Games.
-
B.
hostCountryFirstTimeWinterGames
Indicates that a country is hosting the Winter Games for the first time in its history.
-
C.
firstWinterGamesCountry
Indicates the country where the first Winter Games involving the referenced entity took place or were hosted.
-
D.
previousWinterOlympics
Indicates that one Winter Olympic Games event directly preceded another in chronological order.
-
E.
firstSummerGamesYear
Indicates the calendar year in which an entity first participated in or hosted the Summer Olympic Games.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab096b588190b22e41a76263ae92 |
completed | March 8, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f9259c8190afbc5ad0fa55436b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:07 p.m.