Triple
T35238037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empire Company Limited |
E1017428
|
entity |
| Predicate | hasDrugStoreBanner |
P22579
|
FINISHED |
| Object | Lawtons Drugs |
—
|
NE NERFINISHED |
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: Lawtons Drugs | Statement: [Empire Company Limited, hasDrugStoreBanner, Lawtons Drugs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDrugStoreBanner Context triple: [Empire Company Limited, hasDrugStoreBanner, Lawtons Drugs]
-
A.
hasPharmacies
Indicates that one entity possesses, operates, or is associated with one or more pharmacies.
-
B.
usedBanner
chosen
Indicates that one entity employed or displayed another entity as a banner in some context or setting.
-
C.
hasNotableStore
Indicates that an entity operates or is associated with a store that is considered notable or significant in some way.
-
D.
presentedUnderBanner
Indicates that something is displayed or showcased beneath or associated with a specific banner or heading.
-
E.
hasRetailPresenceIn
Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.