Triple

T13865568
Position Surface form Disambiguated ID Type / Status
Subject Concord, Georgia E333315 entity
Predicate isInCounty P13451 FINISHED
Object Pike County E17456 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: Pike County | Statement: [Concord, Georgia, isInCounty, Pike County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pike County
Context triple: [Concord, Georgia, isInCounty, Pike County]
  • A. Pike County
    Pike County is a county in southeastern Alabama known for its agricultural economy and as the home of Troy University.
  • B. Pike County
    Pike County is a rural county in northeastern Pennsylvania known for its forests, rivers, and location along the Delaware River near the New York and New Jersey borders.
  • C. Pike County chosen
    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.
  • D. Crawford County
    Crawford County is a rural county in central Georgia known for its agricultural landscape and small-town communities west of Macon.
  • E. Crawford County
    Crawford County is a rural county in the northern Lower Peninsula of Michigan, known for its forests, rivers, and outdoor recreation opportunities.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c419d481909230e8879b6dab5c completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69fdf06a3e208190a24e6cd9cb97e99c completed May 8, 2026, 2:17 p.m.
Created at: April 9, 2026, 10:14 p.m.