Triple

T10914538
Position Surface form Disambiguated ID Type / Status
Subject Mitchellsburg, Kentucky E257784 entity
Predicate hasCounty P285 FINISHED
Object Boyle County E891800 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: Boyle County | Statement: [Mitchellsburg, Kentucky, hasCounty, Boyle County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boyle County
Context triple: [Mitchellsburg, Kentucky, hasCounty, Boyle County]
  • A. Boyle County chosen
    Boyle County is a county in central Kentucky known as the site of the pivotal Civil War Battle of Perryville.
  • B. Barbour County
    Barbour County is a largely rural county in southeastern Alabama known for its agricultural economy, historic towns like Eufaula, and significant antebellum architecture.
  • C. Jessamine County
    Jessamine County is a county located in the central part of the U.S. state of Kentucky, known for its mix of suburban communities and rural landscapes.
  • D. Sumner County
    Sumner County is a county in northern Middle Tennessee, known for its suburban communities, historic sites, and proximity to the Nashville metropolitan area.
  • E. Bonner County
    Bonner County is a largely rural county in northern Idaho known for its forests, lakes, and outdoor recreation areas, including parts of Lake Pend Oreille and the Selkirk Mountains.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77073d12881908ea59771b84bc804 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bbf70688190be9315a75582dbe2 completed April 17, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:22 p.m.