Triple
T15842486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benetton Group |
E384131
|
entity |
| Predicate | numberOfConstructorsTitles |
P4419
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Benetton Group, numberOfConstructorsTitles, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfConstructorsTitles Context triple: [Benetton Group, numberOfConstructorsTitles, 1]
-
A.
resultedInConstructorsTitleFor
Indicates that one event, action, or condition caused or led to the assignment or creation of a specific constructor’s title for an entity.
-
B.
hasConstructorTitle
Indicates that an entity is associated with a specific title or designation held in its role as a constructor.
-
C.
titleCount
chosen
Indicates the number of distinct titles associated with an entity within a given context.
-
D.
uniqueTitleHolderCount
Indicates the number of distinct entities that exclusively hold a given title, with no other entity sharing that same title.
-
E.
conferenceTitleCount
Indicates the number of distinct conference titles associated with a given entity or context.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e88ff08190a1035269e8fdaa6a |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005434ed88190baf11c169da3cf29 |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.