Triple
T24919218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capocannoniere 1996–97 |
E624072
|
entity |
| Predicate | previousSeasonAward |
P159702
|
FINISHED |
| Object | Capocannoniere 1995–96 |
—
|
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 1995–96 | Statement: [Capocannoniere 1996–97, previousSeasonAward, Capocannoniere 1995–96]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousSeasonAward Context triple: [Capocannoniere 1996–97, previousSeasonAward, Capocannoniere 1995–96]
-
A.
nextSeasonAward
Indicates that an award is given in the season immediately following a referenced season or event.
-
B.
previousSeason
Indicates that one season directly precedes another in chronological order within the same series or competition.
-
C.
lastWinnerSeason
Indicates that the subject is the most recent winner of a recurring competition or award in the specified season.
-
D.
awardSeason
Indicates the period or context in which awards are given or recognized for achievements, typically within a specific field or industry.
-
E.
hasSeasonAwardType
Indicates that a particular season is associated with a specific type or category of award.
- 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_69f5f7a205688190b8f36bff5013247c |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 18, 2026, 5:28 a.m.