Triple

T22246561
Position Surface form Disambiguated ID Type / Status
Subject Mapleton, Kansas E549857 entity
Predicate county P75 FINISHED
Object Bourbon County NE NERFINISHED

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: Bourbon County | Statement: [Mapleton, Kansas, county, Bourbon County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bourbon County
Context triple: [Mapleton, Kansas, county, Bourbon County]
  • A. Bourbon County
    Bourbon County is a county in north-central Kentucky known for its historic role in the development of bourbon whiskey and its rich equine and agricultural heritage.
  • B. Bourbon County chosen
    Bourbon County is a county in southeastern Kansas known for its agricultural communities and historic small towns such as Fort Scott.
  • C. Stoddard County
    Stoddard County is a rural county in southeastern Missouri known for its agriculture and small communities within the Missouri Bootheel region.
  • D. 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.
  • E. Barbour County
    Barbour County is a largely rural county in north-central West Virginia known for its Appalachian landscape, small communities, and historical sites such as the Philippi Covered Bridge.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13218d1f88190b64b7f301328fa98 completed April 28, 2026, 10:18 p.m.
Created at: April 16, 2026, 8:38 p.m.