Triple
T24919219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capocannoniere 1996–97 |
E624072
|
entity |
| Predicate | nextSeasonAward |
P157234
|
FINISHED |
| Object | Capocannoniere 1997–98 |
—
|
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: Capocannoniere 1997–98 | Statement: [Capocannoniere 1996–97, nextSeasonAward, Capocannoniere 1997–98]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nextSeasonAward Context triple: [Capocannoniere 1996–97, nextSeasonAward, Capocannoniere 1997–98]
-
A.
awardInSeason
Indicates that an award was given during a specific season or seasonal period.
-
B.
nextSeasonPromotionTo
Indicates a promotion or advancement that an entity will receive in the following season.
-
C.
awardSeason
Indicates the period or context in which awards are given or recognized for achievements, typically within a specific field or industry.
-
D.
hasSeasonAwardType
Indicates that a particular season is associated with a specific type or category of award.
-
E.
nextPennantWinner
Indicates that one entity is the team expected or designated to win the next pennant (championship) following the other entity.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f4238f98ec8190a4159dcec666fe5a |
completed | May 1, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f423637bec8190a1701421ac86a3b7 |
completed | May 1, 2026, 3:52 a.m. |
Created at: April 18, 2026, 5:28 a.m.