Triple

T13095531
Position Surface form Disambiguated ID Type / Status
Subject Crane County E310573 entity
Predicate borderingCounty P6346 FINISHED
Object Crockett County E902383 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: Crockett County | Statement: [Crane County, borderingCounty, Crockett County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crockett County
Context triple: [Crane County, borderingCounty, Crockett County]
  • A. Crockett County chosen
    Crockett County is a sparsely populated county in western Texas known for its ranching lands and the town of Ozona, its county seat.
  • B. Reagan County
    Reagan County is a sparsely populated county in West Texas known for its oil and gas production and its county seat, Big Lake.
  • C. Callaway County
    Callaway County is a county in central Missouri known for its seat in Fulton and its mix of small-town communities, agriculture, and historical sites.
  • D. Teller County
    Teller County is a mountainous county in central Colorado known for its historic gold mining communities, including the city of Cripple Creek.
  • E. Moody County
    Moody County is a rural county in eastern South Dakota known for its agricultural landscape and the city of Flandreau as its county seat.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9814e88a0819088418c792ce7aa57 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5cd9f2081908c207b21a14233e1 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:03 p.m.