Triple

T19388723
Position Surface form Disambiguated ID Type / Status
Subject Bullock County, Alabama E485003 entity
Predicate hasName P744 FINISHED
Object Bullock County 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: Bullock County | Statement: [Bullock County, Alabama, hasName, Bullock County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bullock County
Context triple: [Bullock County, Alabama, hasName, Bullock County]
  • A. Bullock County chosen
    Bullock County is a rural county in southeastern Alabama known for its agricultural economy and historic small towns.
  • B. Creek County
    Creek County is a county in northeastern Oklahoma, known for its mix of small towns, rural landscapes, and proximity to the Tulsa metropolitan area.
  • C. Ringgold County
    Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
  • D. Treutlen County
    Treutlen County is a rural county in east-central Georgia, known for its small population, agricultural landscape, and county seat of Soperton.
  • E. Payne County
    Payne County is a county in north-central Oklahoma best known as the home of the city of Stillwater and Oklahoma State University.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b425e848190ab5ae8ae0a034fe2 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.