Triple
T22676110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1989 UEFA Women's Championship |
E560349
|
entity |
| Predicate | numberOfFinalTournamentMatches |
P132610
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [1989 UEFA Women's Championship, numberOfFinalTournamentMatches, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFinalTournamentMatches Context triple: [1989 UEFA Women's Championship, numberOfFinalTournamentMatches, 4]
-
A.
numberOfFinalMatches
chosen
Indicates the total count of final-stage matches associated with a given entity or event.
-
B.
numberOfFinalTournamentTeams
Indicates the total count of teams that participate in the final stage of a tournament.
-
C.
numberOfSemiFinals
Indicates the count of semi-final rounds or appearances associated with an entity in a given context.
-
D.
numberOfFightersInFinalTournament
Indicates the total count of fighters who participate in the final stage of a tournament.
-
E.
numberOfGroupStageMatches
Indicates the total count of matches played during the group stage of a competition or tournament.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785ca1e08190af1a6cdb51ca4fce |
completed | April 29, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:11 p.m.