Triple
T26425801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Market Pantry |
E664366
|
entity |
| Predicate | associatedWithRetailSector |
P125845
|
FINISHED |
| Object | grocery retail |
—
|
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: grocery retail | Statement: [Market Pantry, associatedWithRetailSector, grocery retail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithRetailSector Context triple: [Market Pantry, associatedWithRetailSector, grocery retail]
-
A.
associatedWithEconomicSector
Indicates that an entity has a connection or involvement with a particular economic sector, such as operating, participating, or being relevant within that sector.
-
B.
hasRetailSegment
chosen
Indicates that an entity is associated with, operates within, or targets a specific retail market segment.
-
C.
associatedRetailer
Indicates that one entity has a business or operational connection with a particular retailer, such as partnership, distribution, or sales affiliation.
-
D.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
E.
isPartOfRetailChain
Indicates that a retail location, store, or business entity belongs to and operates under a larger retail chain or brand organization.
- 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_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
Created at: April 26, 2026, 11:46 p.m.