Triple
T25641566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ste. Michelle Wine Estates |
E642849
|
entity |
| Predicate | wasSubsidiaryOf |
P20316
|
FINISHED |
| Object | U.S. Tobacco |
—
|
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: U.S. Tobacco | Statement: [Ste. Michelle Wine Estates, wasSubsidiaryOf, U.S. Tobacco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasSubsidiaryOf Context triple: [Ste. Michelle Wine Estates, wasSubsidiaryOf, U.S. Tobacco]
-
A.
hasAllianceThroughSubsidiary
Indicates that two entities are in an alliance indirectly, established or maintained through one or more subsidiary entities rather than directly between the primary entities.
-
B.
hasParentCompany
chosen
Indicates that one company is owned or controlled by another company that serves as its parent organization.
-
C.
usedBySubsidiaryOf
Indicates that something is used by an entity that is a subsidiary of another organization.
-
D.
foundedAsHoldingCompanyFor
Indicates that an entity was originally established specifically to serve as a holding company for another entity or group of entities.
-
E.
notableSubsidiary
Indicates that one entity is a subsidiary of another and is particularly significant or prominent among that parent’s subsidiaries.
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa660fa0819087e2711cee51d7a1 |
completed | May 2, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 5:43 p.m.