Triple

T7775958
Position Surface form Disambiguated ID Type / Status
Subject Columbus Junction, Iowa E221389 entity
Predicate county P75 FINISHED
Object Louisa County E693026 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: Louisa County | Statement: [Columbus Junction, Iowa, county, Louisa County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louisa County
Context triple: [Columbus Junction, Iowa, county, Louisa County]
  • A. Louisa County
    Louisa County is a largely rural county in central Virginia known for its small towns, agricultural landscape, and proximity to Lake Anna.
  • B. Louisa County chosen
    Louisa County is a rural county in southeastern Iowa known for its agricultural landscape and small communities along the Iowa and Mississippi rivers.
  • C. Hancock County
    Hancock County is a county in central Indiana, United States, located just east of Indianapolis and known for its mix of suburban communities and rural farmland.
  • D. Hancock County
    Hancock County is a coastal county in Maine known for encompassing much of Acadia National Park and the popular tourist town of Bar Harbor.
  • E. Holmes County
    Holmes County is a rural county in the Florida Panhandle known for its small communities, agricultural landscape, and proximity to the Alabama state line.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d005808190ac14c8d716421bdb completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb136bafb88190a6f980622317df76 completed March 31, 2026, 12:20 a.m.
Created at: March 30, 2026, 4:03 p.m.