Triple
T25697339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinchio |
E644356
|
entity |
| Predicate | hasCooperativeWinery |
P87850
|
FINISHED |
| Object | Vinchio e Vaglio Serra cooperative |
—
|
NE NERFINISHED |
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: Vinchio e Vaglio Serra cooperative | Statement: [Vinchio, hasCooperativeWinery, Vinchio e Vaglio Serra cooperative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCooperativeWinery Context triple: [Vinchio, hasCooperativeWinery, Vinchio e Vaglio Serra cooperative]
-
A.
hasWinery
Indicates a relationship where a subject owns, operates, or is associated with a particular winery.
-
B.
hasWinemakingFacility
Indicates that an entity possesses or is associated with a facility where winemaking activities are carried out.
-
C.
hasWinemaker
Indicates that one entity serves as the winemaker responsible for producing or overseeing the production of wine for another entity.
-
D.
hasNearbyWinery
Indicates that one entity is located close to, or in the vicinity of, a winery.
-
E.
hasWineryType
chosen
Indicates the specific category or classification of winery associated with an 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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 21, 2026, 8:38 p.m.