Triple

T10280070
Position Surface form Disambiguated ID Type / Status
Subject Grandview, Iowa E241073 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: [Grandview, Iowa, county, Louisa County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louisa County
Context triple: [Grandview, 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a0c90c8190ad6ee479a32e5a95 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d95e437d4481908a722a6648b62b39 completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 11:38 a.m.