Triple
T24394995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Suazo |
E615003
|
entity |
| Predicate | topScorerForClub |
P6605
|
FINISHED |
| Object | Cagliari Calcio |
—
|
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: Cagliari Calcio | Statement: [David Suazo, topScorerForClub, Cagliari Calcio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topScorerForClub Context triple: [David Suazo, topScorerForClub, Cagliari Calcio]
-
A.
leagueTopScorerTeam
Indicates the team for which a given league’s top-scoring player plays or played.
-
B.
topScorer
chosen
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
-
C.
topScorerTeam
Indicates that a given team is the one with the highest score (or total points) in a particular game, season, or competition.
-
D.
topGoalScorerGoals
Indicates the number of goals scored by the top goal scorer in a given context or competition.
-
E.
topScorerPoints
Indicates the number of points scored by the top-scoring entity in a given context or event.
- 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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2945afa80819094f7154f7539d0d1 |
completed | April 29, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:04 a.m.