Triple
T24162347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA World Cup Silver Ball |
E598874
|
entity |
| Predicate | firstWinnerTournament |
P11366
|
FINISHED |
| Object | 1982 FIFA World Cup |
—
|
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: 1982 FIFA World Cup | Statement: [FIFA World Cup Silver Ball, firstWinnerTournament, 1982 FIFA World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWinnerTournament Context triple: [FIFA World Cup Silver Ball, firstWinnerTournament, 1982 FIFA World Cup]
-
A.
firstWinner
chosen
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
-
B.
firstKnownTournament
Indicates the earliest tournament in which the entity is known or recorded to have participated or appeared.
-
C.
firstRunningWinner
Indicates that the subject is the first entity to win among those participating in a running event or race.
-
D.
firstTournamentHost
Indicates that the subject entity is the first host of a particular tournament or competition.
-
E.
firstWinnerFinals
Indicates that the subject entity is the winner of the first finals event or match in a given competition or series.
- 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_69e288cb0a3081909ef221744f274384 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:32 p.m.