Triple
T33496667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WestEnd City Center |
E857880
|
entity |
| Predicate | hasRetailersType |
—
|
GENERATED |
| Object | international brands |
—
|
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: hasRetailersType Context triple: [WestEnd City Center, hasRetailersType, international brands]
-
A.
hasRetailCategory
chosen
Indicates that an entity is associated with a specific retail category or type of retail business.
-
B.
hasRetailProduct
Indicates that an entity offers, sells, or makes available a particular product in a retail context.
-
C.
hasRetailFormat
Indicates that one entity operates or is organized according to a particular retail format or store type.
-
D.
hasRetailCharacteristic
Indicates that an entity possesses a specific attribute, feature, or quality relevant to retail contexts (such as pricing, packaging, or point-of-sale properties).
-
E.
hasRetailUnits
Indicates that one entity possesses, operates, or is associated with one or more retail units (such as stores or outlets).
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:38 a.m.