Triple
T31697308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israeli wine industry |
E808950
|
entity |
| Predicate | majorEarlyWinery |
P197629
|
FINISHED |
| Object | Carmel Winery |
—
|
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: Carmel Winery | Statement: [Israeli wine industry, majorEarlyWinery, Carmel Winery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorEarlyWinery Context triple: [Israeli wine industry, majorEarlyWinery, Carmel Winery]
-
A.
foundedAsVineyard
Indicates that an organization, estate, or property was originally established as a vineyard.
-
B.
hasVineyardsSince
Indicates that an entity has owned or maintained vineyards continuously since a specified point in time.
-
C.
viticultureHistory
Indicates the historical development, practices, and events related to grape cultivation and winemaking over time.
-
D.
hasWinemakingFocus
Indicates that an entity is specifically oriented toward, specialized in, or primarily concerned with winemaking activities or practices.
-
E.
hasWinemakingFacility
Indicates that an entity possesses or is associated with a facility where winemaking activities are carried out.
- F. None of above. chosen
Provenance (4 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
| PDg | Predicate description generation | batch_69fe9fb88db08190a8f4af350633330e |
completed | May 9, 2026, 2:45 a.m. |
Created at: April 30, 2026, 11:10 p.m.