Triple

T9680316
Position Surface form Disambiguated ID Type / Status
Subject Southern Alberta E234261 entity
Predicate contains P35 FINISHED
Object Wheatland County E575499 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: Wheatland County | Statement: [Southern Alberta, contains, Wheatland County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wheatland County
Context triple: [Southern Alberta, contains, Wheatland County]
  • A. Wheatland County chosen
    Wheatland County is a rural municipal district in southern Alberta, Canada, located east of Calgary and known for its agricultural lands and small communities.
  • B. Utena County
    Utena County is an administrative region in northeastern Lithuania known for its lakes, forests, and river landscapes.
  • C. Bennett County
    Bennett County is a rural county in South Dakota that includes part of the Pine Ridge Indian Reservation and has a significant Native American population.
  • D. Cardston County
    Cardston County is a municipal district in southern Alberta, Canada, known for its rural communities, agriculture, and proximity to the Canada–United States border.
  • E. Geary County
    Geary County is a county in northeastern Kansas known for its mix of military presence at Fort Riley, the city of Junction City, and its location within the tallgrass prairie region.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9dcbe881908ae926a5b5eae759 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c3ffbf848190a3e444068fea0a4b completed April 5, 2026, 2:07 a.m.
Created at: March 30, 2026, 8:16 p.m.