Triple
T36387805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States women's national water polo team |
E896243
|
entity |
| Predicate | hasProducedFINAWorldPlayerOfTheYear |
P204852
|
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, hasProducedFINAWorldPlayerOfTheYear, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProducedFINAWorldPlayerOfTheYear Context triple: [United States women's national water polo team, hasProducedFINAWorldPlayerOfTheYear, yes]
-
A.
fifaWorldPlayerOfTheYear
Indicates that one entity has been awarded the FIFA World Player of the Year title for a given year or period.
-
B.
wasICCPlayerOfTheYearIn
Indicates that an entity was selected as the ICC Player of the Year in a specified year.
-
C.
FIFAWorldCupYashinAwardYear
Indicates the year in which a specific instance of the FIFA World Cup Yashin Award was given.
-
D.
conferencePlayerOfTheYearFor
Indicates that an entity has been recognized as the player of the year within a specific athletic conference.
-
E.
BallonDorFeminineYearWon
Indicates the year in which a female player won the Ballon d'Or Féminin award.
- 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:10 p.m.