Triple
T34852907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1996–97 Coppa Italia |
E1004646
|
entity |
| Predicate | secondLegFinalScore |
P52765
|
FINISHED |
| Object | Napoli 0–2 Vicenza |
—
|
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: Napoli 0–2 Vicenza | Statement: [1996–97 Coppa Italia, secondLegFinalScore, Napoli 0–2 Vicenza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondLegFinalScore Context triple: [1996–97 Coppa Italia, secondLegFinalScore, Napoli 0–2 Vicenza]
-
A.
finalSecondLegScore
chosen
Indicates the score achieved in the second leg of a two-leg competition or matchup once that leg is completed.
-
B.
opponentFinalScore
Indicates the final score achieved by an opposing participant or team in a contest or game.
-
C.
secondHalfScore
Indicates the number of points or goals an entity scored during the second half of a game or match.
-
D.
finalScore
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
E.
secondGoalScoredBy
Indicates that the second goal in a match or sequence of goals was scored by a specified entity.
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff27b125948190aced0fe0189fd39a |
completed | May 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69ff26c30a0481909ef6a54ded851e42 |
completed | May 9, 2026, 12:21 p.m. |
Created at: May 3, 2026, 4 p.m.