Triple
T8089658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwight Gayle |
E188823
|
entity |
| Predicate | topScorerForClubInSeason |
P6605
|
FINISHED |
| Object | Newcastle United F.C. 2016–17 |
—
|
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: Newcastle United F.C. 2016–17 | Statement: [Dwight Gayle, topScorerForClubInSeason, Newcastle United F.C. 2016–17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topScorerForClubInSeason Context triple: [Dwight Gayle, topScorerForClubInSeason, Newcastle United F.C. 2016–17]
-
A.
leagueTopScorerInSeason
Indicates that an entity was the highest goal/point scorer in a particular league during a specified season.
-
B.
leagueTopScorerTeam
Indicates the team for which a given league’s top-scoring player plays or played.
-
C.
scoredGoalSeason
Indicates that an entity scored a goal during a specified season.
-
D.
topScorer
chosen
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
-
E.
seasonGoalsRecordSeason
Indicates the specific season in which a particular season goals record was achieved or is valid.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421e30e88190b9699b338b69b81c |
completed | March 31, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69cb04a14cd88190a79ed26cbeec1c33 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:29 p.m.