Triple

T18933367
Position Surface form Disambiguated ID Type / Status
Subject Howard County, Missouri E463172 entity
Predicate hasSettlement P1068 FINISHED
Object Fayette, Missouri 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: Fayette, Missouri | Statement: [Howard County, Missouri, hasSettlement, Fayette, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fayette, Missouri
Context triple: [Howard County, Missouri, hasSettlement, Fayette, Missouri]
  • A. Fayette, Missouri chosen
    Fayette, Missouri is a small historic city that serves as the county seat of Howard County in central Missouri.
  • B. Festus, Missouri
    Festus, Missouri is a small city in Jefferson County that forms part of the greater St. Louis metropolitan area.
  • C. Freeman, Missouri
    Freeman, Missouri is a small rural city located in Cass County in western Missouri, United States.
  • D. Van Buren, Missouri
    Van Buren, Missouri is a small town in the Ozarks that serves as a popular gateway for outdoor recreation along the Current and Jacks Fork rivers.
  • E. De Witt, Missouri
    De Witt, Missouri is a small city located along the Missouri River in Carroll County in the central part of the state.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3e498308190bd1594cca841199c completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.