Triple
T35238036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empire Company Limited |
E1017428
|
entity |
| Predicate | hasConvenienceStoreBanner |
P22579
|
FINISHED |
| Object | Needs Convenience |
E2132124
|
NE 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: Needs Convenience | Statement: [Empire Company Limited, hasConvenienceStoreBanner, Needs Convenience]
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 (4 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a380fa2f798819097aef12208fae1f7 |
completed | June 21, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.