Triple

T16816353
Position Surface form Disambiguated ID Type / Status
Subject Madison, West Virginia E408759 entity
Predicate county P75 FINISHED
Object Boone County E66214 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: Boone County | Statement: [Madison, West Virginia, county, Boone County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boone County
Context triple: [Madison, West Virginia, county, Boone County]
  • A. Boone County
    Boone County is a county in central Indiana known for its mix of suburban communities like Zionsville and rural agricultural areas northwest of Indianapolis.
  • B. Boone County
    Boone County is a county in northern Kentucky that includes the area served by Cincinnati/Northern Kentucky International Airport and forms part of the greater Cincinnati metropolitan region.
  • C. Boone County chosen
    Boone County is a rural county in southern West Virginia known historically for its coal mining communities and Appalachian landscape.
  • D. Stoddard County
    Stoddard County is a rural county in southeastern Missouri known for its agriculture and small communities within the Missouri Bootheel region.
  • E. Adair County
    Adair County is a county in northeastern Missouri, United States, known for being home to the city of Kirksville and Truman State University.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e1de908190aa3508770fb865cf completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b3802f08190acd5be6e2ccef2d7 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:23 a.m.