Triple
T6522289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023 FIFA Women’s World Cup |
E151211
|
entity |
| Predicate | firstCoHostedWomen’sWorldCup |
P41048
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [2023 FIFA Women’s World Cup, firstCoHostedWomen’sWorldCup, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCoHostedWomen’sWorldCup Context triple: [2023 FIFA Women’s World Cup, firstCoHostedWomen’sWorldCup, true]
-
A.
wasFirstWorldCupWith
chosen
Indicates that the referenced World Cup tournament was the first one to feature or include the specified characteristic, rule, format, or element.
-
B.
firstWorldCupAfter
Indicates that one event is the first World Cup held after another specified event or point in time.
-
C.
FIFA100Women
Indicates that a person is recognized as one of the top 100 women footballers selected by FIFA.
-
D.
firstWomenSCollegeWorldSeriesUnderNCAA
Indicates that the event is recognized as the first Women's College World Series held under NCAA governance.
-
E.
hadUSWNTPlayers
Indicates that an entity (such as a team or club) has included or been associated with players from the United States Women’s National Team.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad95c2c88190b800aaaa73f99210 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:45 p.m.