Triple

T20896955
Position Surface form Disambiguated ID Type / Status
Subject Prairie Mall E514562 entity
Predicate locatedIn P40 FINISHED
Object Grande Prairie 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: Grande Prairie | Statement: [Prairie Mall, locatedIn, Grande Prairie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grande Prairie
Context triple: [Prairie Mall, locatedIn, Grande Prairie]
  • A. Grande Prairie chosen
    Grande Prairie is a mid-sized city in northwestern Alberta, Canada, known as a regional hub for agriculture, energy, and forestry.
  • B. Red Deer
    Red Deer is a mid-sized Canadian city in central Alberta known as a regional hub for agriculture, industry, and commerce between Calgary and Edmonton.
  • C. High Prairie
    High Prairie is a small northern Alberta town that serves as a regional service and transportation hub for surrounding rural and Indigenous communities.
  • D. Swan Hills
    Swan Hills is a state electoral district in Western Australia that covers semi-rural and outer suburban areas on the northeastern fringe of Perth.
  • E. Nanton
    Nanton is a small town in southern Alberta, Canada, known for its historic grain elevators, aviation museum, and location along a major north–south transportation corridor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d062f26c81908d99d6a9d3b99604 completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 12:47 p.m.