Triple
T6649660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derby della Mole |
E150787
|
entity |
| Predicate | localRivalryAspect |
P18267
|
FINISHED |
| Object | competition for supremacy in Turin |
—
|
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: competition for supremacy in Turin | Statement: [Derby della Mole, localRivalryAspect, competition for supremacy in Turin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localRivalryAspect Context triple: [Derby della Mole, localRivalryAspect, competition for supremacy in Turin]
-
A.
hasLocalRivalry
chosen
Indicates that there is an ongoing competitive or adversarial relationship between entities that are geographically close or share the same local area.
-
B.
cityRivalry
Indicates a competitive or adversarial relationship that exists between two cities, often involving sports, economics, culture, or historical tensions.
-
C.
hasRivalryAspect
Indicates that there exists a competitive or adversarial relationship or dimension between entities.
-
D.
conferenceRivalry
Indicates a competitive or adversarial relationship between entities that belong to the same conference or organized grouping.
-
E.
rivalryBasis
Indicates the underlying reason, cause, or grounds on which a rivalry between entities is based.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:01 p.m.