Triple
T36387792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States women's national water polo team |
E896243
|
entity |
| Predicate | hasWonWorldCup |
P74958
|
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: [United States women's national water polo team, hasWonWorldCup, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonWorldCup Context triple: [United States women's national water polo team, hasWonWorldCup, yes]
-
A.
hasWorldCupVictoriesIn
Indicates that an entity has achieved victories in the FIFA World Cup during the specified years or editions.
-
B.
hasWorldCupParticipation
Indicates that an entity has taken part in at least one edition of the FIFA World Cup tournament.
-
C.
wonWorldCupGoldIn
Indicates that an entity achieved a gold medal victory in the World Cup during a specified event or year.
-
D.
worldCupWon
chosen
Indicates that the subject has won the FIFA World Cup tournament.
-
E.
worldCupPlayed
Indicates that a World Cup tournament has taken place or been held (typically at a specific time and/or location).
- 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
Created at: May 3, 2026, 4:10 p.m.