Triple
T35238036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empire Company Limited |
E1017428
|
entity |
| Predicate | hasConvenienceStoreBanner |
—
|
GENERATED |
| Object | Needs Convenience |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConvenienceStoreBanner Context triple: [Empire Company Limited, hasConvenienceStoreBanner, Needs Convenience]
-
A.
hasConvenienceStore
Indicates that one entity possesses, contains, or is associated with a convenience store.
-
B.
hasPremiumGroceryBanner
Indicates that an entity is associated with or displays a premium-level grocery promotional banner.
-
C.
supportsInStorePromotions
Indicates that an entity enables or accommodates promotional activities conducted within a physical store environment.
-
D.
hasNotableStore
Indicates that an entity operates or is associated with a store that is considered notable or significant in some way.
-
E.
usedBanner
chosen
Indicates that one entity employed or displayed another entity as a banner in some context or setting.
- F. None of above.
Provenance (1 batch)
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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.