Triple
T11028257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BJ |
E260687
|
entity |
| Predicate | underlyingCompanyStoreFormat |
P40799
|
FINISHED |
| Object | warehouse club |
—
|
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: warehouse club | Statement: [BJ, underlyingCompanyStoreFormat, warehouse club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingCompanyStoreFormat Context triple: [BJ, underlyingCompanyStoreFormat, warehouse club]
-
A.
underlyingCompanyType
Indicates the classification or category of company that forms the basis or source for another related entity or instrument.
-
B.
underlyingCompany
Indicates that one entity serves as the fundamental or base company upon which another entity (such as a product, instrument, or structure) is built, derived, or dependent.
-
C.
storeType
chosen
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
D.
hasUnderlyingCompanyBrand
Indicates that one entity is associated with or operates under the corporate brand of another company as its underlying brand.
-
E.
underlyingCompanyName
Indicates the name of the company that serves as the foundational or primary entity underlying another entity, structure, or instrument.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797d245a0819085135cdee9b256c5 |
completed | April 9, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69d7440087ac8190aef2e6f6b13b2635 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:25 p.m.