Triple
T26425796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Market Pantry |
E664366
|
entity |
| Predicate | soldUnderRetailerBrandArchitecture |
P87725
|
FINISHED |
| Object | Target owned brands |
—
|
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: Target owned brands | Statement: [Market Pantry, soldUnderRetailerBrandArchitecture, Target owned brands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soldUnderRetailerBrandArchitecture Context triple: [Market Pantry, soldUnderRetailerBrandArchitecture, Target owned brands]
-
A.
soldBrand
Indicates that a particular brand is sold or offered for sale by a given seller, store, or outlet.
-
B.
soldBrandTo
Indicates that one entity transferred ownership or control of a brand to another entity through a sale.
-
C.
hasRetailProduct
Indicates that an entity offers, sells, or makes available a particular product in a retail context.
-
D.
hasRetailBrands
chosen
Indicates that an entity owns, manages, or is associated with one or more retail brands.
-
E.
associatedRetailer
Indicates that one entity has a business or operational connection with a particular retailer, such as partnership, distribution, or sales affiliation.
- 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f611ba09848190bee2d2ba78a0d84b |
completed | May 2, 2026, 3:01 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 11:46 p.m.