Triple
T755911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverchase Galleria |
E15554
|
entity |
| Predicate | isRegionalShoppingDestinationFor |
P12320
|
FINISHED |
| Object | central Alabama |
—
|
LITERAL 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: central Alabama | Statement: [Riverchase Galleria, isRegionalShoppingDestinationFor, central Alabama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRegionalShoppingDestinationFor Context triple: [Riverchase Galleria, isRegionalShoppingDestinationFor, central Alabama]
-
A.
marketRegion
chosen
Indicates the geographic or demographic area in which a product, service, or entity is actively marketed or targeted.
-
B.
countryIncludes
Indicates that a country geographically or administratively contains or encompasses a specified region, territory, or subdivision.
-
C.
regionallyAssociatedWith
Indicates that two entities are connected or related based on sharing the same or overlapping geographic or regional context.
-
D.
soldInCountry
Indicates that a product or item is offered for sale or has been sold within a specified country.
-
E.
displayedInCountry
Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6693cbc8190a167e12a896d7ce7 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a50348088190873a1446db657a78 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.