Triple
T37369907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France vs New Zealand |
E927808
|
entity |
| Predicate | team2FirstWorldCupTitleYear |
P188000
|
FINISHED |
| Object | 1987 |
—
|
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: 1987 | Statement: [France vs New Zealand, team2FirstWorldCupTitleYear, 1987]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: team2FirstWorldCupTitleYear Context triple: [France vs New Zealand, team2FirstWorldCupTitleYear, 1987]
-
A.
isFirstWorldCupTitleForCountry
Indicates that the referenced World Cup title is the first ever won by the specified country.
-
B.
team1WorldCupWinner
Indicates that the first team is the winner of the World Cup in the context of a given tournament or year.
-
C.
team2WorldCupWinner
Indicates that the second team is the winner of the World Cup in the context of the given match or tournament.
-
D.
winningTeamFirstTitle
Indicates that the winning team is achieving its first-ever title in the relevant competition or context.
-
E.
winningCountryFirstVictory
Indicates that the country achieved its first-ever victory in the specified competition, event, or context.
- 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb9e173f348190b7ab5935e4dca039 |
completed | May 6, 2026, 8:01 p.m. |
Created at: May 3, 2026, 4:16 p.m.