Triple

T14986067
Position Surface form Disambiguated ID Type / Status
Subject Bonifay K-8 School E373702 entity
Predicate county P75 FINISHED
Object Holmes County E392074 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: Holmes County | Statement: [Bonifay K-8 School, county, Holmes County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holmes County
Context triple: [Bonifay K-8 School, county, Holmes County]
  • A. Holmes County chosen
    Holmes County is a rural county in the Florida Panhandle known for its small communities, agricultural landscape, and proximity to the Alabama state line.
  • B. Holmes County
    Holmes County is a rural county in Ohio known for its large Amish community and picturesque farmland.
  • C. Holmes County
    Holmes County is a rural county in central Mississippi known for its predominantly African American population, agricultural economy, and significant civil rights history.
  • D. Louisa County
    Louisa County is a largely rural county in central Virginia known for its small towns, agricultural landscape, and proximity to Lake Anna.
  • E. Louisa County
    Louisa County is a rural county in southeastern Iowa known for its agricultural landscape and small communities along the Iowa and Mississippi rivers.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7007588819095bb1de029a6f2eb completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae0652dc8190a90a1c3b07a6ed94 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 2:52 a.m.