Triple
T34692271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Tower (Time Warner Center) |
E890930
|
entity |
| Predicate | hasRetailConnectionTo |
—
|
GENERATED |
| Object | The Shops at Columbus Circle |
—
|
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: hasRetailConnectionTo Context triple: [South Tower (Time Warner Center), hasRetailConnectionTo, The Shops at Columbus Circle]
-
A.
hasRetailPresenceIn
Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
-
B.
hasRetailNetwork
Indicates that an entity operates or is associated with a system of retail outlets or distribution channels through which products or services are sold.
-
C.
hasRetailStores
Indicates that an entity operates or possesses one or more physical retail store locations.
-
D.
hasRetailBoutiquesIn
Indicates that an entity operates or maintains retail boutiques located within a specified place or region.
-
E.
hasRetailProduct
Indicates that an entity offers, sells, or makes available a particular product in a retail context.
- F. None of above. chosen
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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:05 a.m.