Triple
T36543145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coles |
E901073
|
entity |
| Predicate | numberOfStoresRegion |
—
|
GENERATED |
| Object | over 800 supermarkets in Australia |
—
|
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: numberOfStoresRegion Context triple: [Coles, numberOfStoresRegion, over 800 supermarkets in Australia]
-
A.
numberOfStores
chosen
Indicates the total count of stores associated with a given entity or context.
-
B.
numberOfRegions
Indicates the total count of distinct regions associated with or contained within a given entity.
-
C.
hasNumberOfRegionalOffices
Indicates the quantity of regional offices that an entity possesses or operates.
-
D.
numberOfDistributionCenters
Indicates the quantity of distribution centers associated with a given entity.
-
E.
hasRetailStores
Indicates that an entity operates or possesses one or more physical retail store locations.
- 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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.