Triple
T6829679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States women’s national ice hockey team |
E157104
|
entity |
| Predicate | olympicTournamentType |
P2440
|
FINISHED |
| Object | women’s ice hockey |
—
|
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: women’s ice hockey | Statement: [United States women’s national ice hockey team, olympicTournamentType, women’s ice hockey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicTournamentType Context triple: [United States women’s national ice hockey team, olympicTournamentType, women’s ice hockey]
-
A.
typeOfCompetition
chosen
Indicates the specific kind or category of competition in which an entity participates or is involved.
-
B.
olympicGames
Indicates that an entity is an edition or instance of the Olympic Games event.
-
C.
otherTournament
Indicates a relationship where one tournament is distinct from and not the same as another tournament.
-
D.
olympicParticipationType
Indicates the specific role or category of involvement an entity has in the Olympic Games (e.g., as an athlete, team, official, or other participation type).
-
E.
sportEventType
Indicates the specific kind or category of sport associated with a given sporting event.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d626df448190b4b1d7406d571d07 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.