Triple
T15086418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grande Torino |
E360284
|
entity |
| Predicate | wonSeason |
P10823
|
FINISHED |
| Object | 1942–43 Serie A |
—
|
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: 1942–43 Serie A | Statement: [Grande Torino, wonSeason, 1942–43 Serie A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonSeason Context triple: [Grande Torino, wonSeason, 1942–43 Serie A]
-
A.
wonSeasonOf
Indicates that one entity emerged as the overall winner of a particular season of a competition, show, or series involving the other entity.
-
B.
wonChallengeCupSeason
Indicates that one entity emerged as the overall winner of a specific Challenge Cup competition in a given season.
-
C.
wonAt
Indicates that one entity achieved victory or success in a specific event, competition, or context.
-
D.
awardSeason
Indicates the period or context in which awards are given or recognized for achievements, typically within a specific field or industry.
-
E.
wonChampionshipInSeason
chosen
Indicates that an entity secured a championship title during a specified season.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00276d1608190bc310d5b86ecd1d5 |
completed | April 15, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:03 a.m.