Triple
T12054549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teófilo Cubillas |
E287005
|
entity |
| Predicate | topScorerInTournament |
P6605
|
FINISHED |
| Object | 1970 FIFA World Cup for Peru |
—
|
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: 1970 FIFA World Cup for Peru | Statement: [Teófilo Cubillas, topScorerInTournament, 1970 FIFA World Cup for Peru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topScorerInTournament Context triple: [Teófilo Cubillas, topScorerInTournament, 1970 FIFA World Cup for Peru]
-
A.
playerOfTheTournament
Indicates that an entity has been recognized as the most outstanding performer in a particular tournament.
-
B.
topScorer
chosen
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
-
C.
recordHighScoringForWinner
Indicates that a record is kept of the highest score achieved by the winning entity in a given context or event.
-
D.
topScorerPoints
Indicates the number of points scored by the top-scoring entity in a given context or event.
-
E.
scoredInTournament
Indicates that an entity achieved a score or points during a particular 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.