Triple

T17928971
Position Surface form Disambiguated ID Type / Status
Subject Chariton County, Missouri E448276 entity
Predicate hasCountySeat P383 FINISHED
Object Keytesville, 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: Keytesville, Missouri | Statement: [Chariton County, Missouri, hasCountySeat, Keytesville, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keytesville, Missouri
Context triple: [Chariton County, Missouri, hasCountySeat, Keytesville, Missouri]
  • A. Keytesville, Missouri chosen
    Keytesville, Missouri is a small rural city that serves as the county seat of Chariton County in northeastern Missouri.
  • B. Paynesville, Missouri
    Paynesville, Missouri is a small unincorporated rural community located in Pike County in the eastern part of the state.
  • C. Auxvasse, Missouri
    Auxvasse, Missouri is a small city in central Missouri known for its rural character and location within Callaway County.
  • D. Kingsville, Missouri
    Kingsville, Missouri is a small rural village located in Johnson County in the western part of the state.
  • E. Rockville, Missouri
    Rockville, Missouri is a small rural town located in Bates County in western Missouri, known for its agricultural surroundings and close-knit community.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a5511a408190973cf5fa1f286a26 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.