Triple

T7785110
Position Surface form Disambiguated ID Type / Status
Subject Cardston County E187221 entity
Predicate containsSettlement P847 FINISHED
Object Cardston E143623 NE 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: Cardston | Statement: [Cardston County, containsSettlement, Cardston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cardston
Context triple: [Cardston County, containsSettlement, Cardston]
  • A. Cardston chosen
    Cardston is a small town in southern Alberta, Canada, known for its strong Latter-day Saint heritage and historic temple.
  • B. Lumsden
    Lumsden is a small rural town in New Zealand’s Southland region, serving as a local service and transport hub for the surrounding farming communities.
  • C. Okotoks
    Okotoks is a rapidly growing town in southern Alberta, Canada, located just south of Calgary along the Sheep River.
  • D. 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.
  • E. Grande Prairie
    Grande Prairie is a mid-sized city in northwestern Alberta, Canada, known as a regional hub for agriculture, energy, and forestry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf22d9b4819081b877c751204a22 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb139059a08190a8a4df25ee09756b completed March 31, 2026, 12:21 a.m.
Created at: March 30, 2026, 4:23 p.m.