Triple

T21290371
Position Surface form Disambiguated ID Type / Status
Subject Christian County, Missouri E524770 entity
Predicate largestCity P235 FINISHED
Object Nixa, 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: Nixa, Missouri | Statement: [Christian County, Missouri, largestCity, Nixa, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nixa, Missouri
Context triple: [Christian County, Missouri, largestCity, Nixa, Missouri]
  • A. Nixa, Missouri chosen
    Nixa, Missouri is a rapidly growing suburban city near Springfield known as part of the Springfield metropolitan area in southwestern Missouri.
  • B. Neosho, Missouri
    Neosho, Missouri is a small city in southwestern Missouri known for its historic downtown, natural springs, and role as the county seat of Newton County.
  • C. Estill, Missouri
    Estill, Missouri is a small unincorporated community located in Howard County in the central part of the state.
  • D. Osceola, Missouri
    Osceola, Missouri is a small historic city in western Missouri known for its role in the Civil War and its location near Truman Lake.
  • E. Tarkio, Missouri
    Tarkio, Missouri is a small city in northwestern Missouri known historically as an agricultural community and former home of Tarkio College.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d9467881908ec5b1dec76e6f5d completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.