Triple

T5635510
Position Surface form Disambiguated ID Type / Status
Subject Western Missouri E147937 entity
Predicate contains P35 FINISHED
Object Warrensburg, Missouri E296730 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: Warrensburg, Missouri | Statement: [Western Missouri, contains, Warrensburg, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warrensburg, Missouri
Context triple: [Western Missouri, contains, Warrensburg, Missouri]
  • A. Warrensburg, Missouri chosen
    Warrensburg, Missouri is a small central Missouri city best known as the home of the University of Central Missouri and its college-town community.
  • B. Plattsburg, Missouri
    Plattsburg, Missouri is a small historic city in northwestern Missouri that serves as the administrative and commercial hub of Clinton County.
  • C. Harrisonville, Missouri
    Harrisonville, Missouri is a small city in Cass County that serves as a suburban community within the greater Kansas City metropolitan area.
  • D. Waynesville, Missouri
    Waynesville, Missouri is a small city in the Missouri Ozarks that serves as a gateway community and service hub for the nearby U.S. Army installation at Fort Leonard Wood.
  • E. Buckner, Missouri
    Buckner, Missouri is a small city located in eastern Jackson County within the Kansas City metropolitan area.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0226286208190b6ccf036cc09fe82 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16e69e9188190a4dd94c34657a74f completed March 23, 2026, 4:46 p.m.
Created at: March 22, 2026, 3:41 p.m.