Triple
T1957584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1932 Winter Olympics |
E42304
|
entity |
| Predicate | sequenceInWinterGames |
P27341
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [1932 Winter Olympics, sequenceInWinterGames, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequenceInWinterGames Context triple: [1932 Winter Olympics, sequenceInWinterGames, 3]
-
A.
previousWinterOlympics
Indicates that one Winter Olympic Games event directly preceded another in chronological order.
-
B.
olympicGames
Indicates that an entity is an edition or instance of the Olympic Games event.
-
C.
sequenceInGames
chosen
Indicates that one game or event occurs as part of an ordered sequence within a series of games.
-
D.
capacityDuring1998WinterOlympics
Indicates the seating or usage capacity of a venue specifically during the period of the 1998 Winter Olympics.
-
E.
olympicIceHockeyGoldMedals
Indicates the number of Olympic gold medals won in ice hockey by an entity (typically a team or country).
- F. None of above.
Provenance (3 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb68a8e608190bc37a85913b3cd44 |
completed | March 7, 2026, 5:24 a.m. |
| PD | Predicate disambiguation | batch_69abaff5dbd48190a9d36ca60de151db |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.