Triple

T12048892
Position Surface form Disambiguated ID Type / Status
Subject La Russell, Missouri E286859 entity
Predicate near P350 FINISHED
Object Sarcoxie, Missouri E281987 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: Sarcoxie, Missouri | Statement: [La Russell, Missouri, near, Sarcoxie, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarcoxie, Missouri
Context triple: [La Russell, Missouri, near, Sarcoxie, Missouri]
  • A. Sarcoxie, Missouri chosen
    Sarcoxie, Missouri is a small historic city in southwestern Missouri known for its agricultural roots and role as a local community hub in Jasper County.
  • B. 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.
  • C. Auxvasse, Missouri
    Auxvasse, Missouri is a small city in central Missouri known for its rural character and location within Callaway County.
  • D. Wilcox, Missouri
    Wilcox, Missouri is a small unincorporated rural community located in Nodaway County in the northwestern part of the state.
  • E. Richards, Missouri
    Richards, Missouri is a small rural village located in western Missouri within Vernon County.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904211b588190bfc7603e5b33dcb7 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dc459308190bc88cb550e1d5b86 completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.