Triple

T2886845
Position Surface form Disambiguated ID Type / Status
Subject Johnson County, Missouri E59526 entity
Predicate seat P75 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: [Johnson County, Missouri, seat, Warrensburg, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warrensburg, Missouri
Context triple: [Johnson County, Missouri, seat, 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. Harrisonville, Missouri
    Harrisonville, Missouri is a small city in Cass County that serves as a suburban community within the greater Kansas City metropolitan area.
  • C. Buckner, Missouri
    Buckner, Missouri is a small city located in eastern Jackson County within the Kansas City metropolitan area.
  • D. Strasburg, Missouri
    Strasburg, Missouri is a small rural city located in Cass County in western Missouri, United States.
  • E. Sikeston, Missouri
    Sikeston, Missouri is a small city in southeastern Missouri known as a regional transportation hub and gateway between the Mississippi Delta and the Ozark foothills.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe0463ccc8190bf08330f40d0cfdc completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2e80d295c8190920a2ef165dfdef4 completed March 12, 2026, 4:21 p.m.
Created at: March 6, 2026, 10:03 p.m.