Triple
T25904160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Women’s Euro 2022 Golden Boot |
E652704
|
entity |
| Predicate | winnerTeamAtTournament |
P2624
|
FINISHED |
| Object | England women’s national football team |
—
|
NE NERFINISHED |
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: England women’s national football team | Statement: [UEFA Women’s Euro 2022 Golden Boot, winnerTeamAtTournament, England women’s national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerTeamAtTournament Context triple: [UEFA Women’s Euro 2022 Golden Boot, winnerTeamAtTournament, England women’s national football team]
-
A.
winningTeam
chosen
Indicates which team is the victor in a given competition, game, or contest.
-
B.
firstWinnerTeam
Indicates that the referenced team is the one that secured first place or victory in a given competition or event.
-
C.
winningManagerTeam
Indicates that the specified manager is the head coach/manager of the team that won a particular game, match, or competition.
-
D.
game4WinningTeam
Indicates which team won the specified game.
-
E.
divisionWinnerTeam2
Indicates that the second team is the winner of its division in a competition or league.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 22, 2026, 8:26 a.m.