Triple

T18595658
Position Surface form Disambiguated ID Type / Status
Subject Forest County E454486 entity
Predicate hasBorderWith P224 FINISHED
Object Crawford 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: Crawford County | Statement: [Forest County, hasBorderWith, Crawford County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crawford County
Context triple: [Forest County, hasBorderWith, Crawford County]
  • A. Crawford County
    Crawford County is a rural county in central Georgia known for its agricultural landscape and small-town communities west of Macon.
  • B. Crawford County chosen
    Crawford County is a rural county in the northern Lower Peninsula of Michigan, known for its forests, rivers, and outdoor recreation opportunities.
  • C. Woods County
    Woods County is a rural county in northwestern Oklahoma known for its agricultural economy and the city of Alva, home to Northwestern Oklahoma State University.
  • D. Pike County
    Pike County is a county in southeastern Alabama known for its agricultural economy and as the home of Troy University.
  • E. Pike County
    Pike County is a county in west-central Georgia, United States, known for its rural character and location within the Atlanta metropolitan area’s broader region.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545ba3bc881908f5308e09d54e05b completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.