Triple

T6455195
Position Surface form Disambiguated ID Type / Status
Subject William Belton E139975 entity
Predicate placeOfAssociation P18369 FINISHED
Object Belton, Missouri E4804 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: Belton, Missouri | Statement: [William Belton, placeOfAssociation, Belton, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belton, Missouri
Context triple: [William Belton, placeOfAssociation, Belton, Missouri]
  • A. Belton, Missouri, United States chosen
    Belton, Missouri, United States is a small city in the Kansas City metropolitan area known in part as the burial place of self-improvement pioneer Dale Carnegie.
  • B. Bellamy, Missouri
    Bellamy, Missouri is a small unincorporated community located in rural Vernon County in the western part of the state.
  • C. La Belle, Missouri
    La Belle, Missouri is a small rural community located in northeastern Missouri within Lewis County.
  • D. Monticello, Missouri
    Monticello, Missouri is a small village in northeastern Missouri that serves as the administrative and historical center of Lewis County.
  • E. Sibley, Missouri
    Sibley, Missouri is a small village in western Missouri known for its proximity to the historic Fort Osage site along the Missouri River.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069d339788190992e3299ffe30d58 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65394d8b481909868faf79f3d2383 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:48 p.m.