Triple
T37369908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France vs New Zealand |
E927808
|
entity |
| Predicate | team2WorldCupTitleYear |
P188000
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [France vs New Zealand, team2WorldCupTitleYear, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: team2WorldCupTitleYear Context triple: [France vs New Zealand, team2WorldCupTitleYear, 2011]
-
A.
team2WorldCupWinner
Indicates that the second team is the winner of the World Cup in the context of the given match or tournament.
-
B.
team2FirstWorldCupTitleYear
chosen
Indicates the year in which the second team won its first FIFA World Cup title.
-
C.
team1WorldCupWinner
Indicates that the first team is the winner of the World Cup in the context of a given tournament or year.
-
D.
teamWorldSeriesTitle
Indicates that a team has won a World Series championship title in a given season or year.
-
E.
worldCupWonWithTeam
Indicates that an individual won a World Cup tournament while being a member of a specified 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:16 p.m.