Triple

T21995241
Position Surface form Disambiguated ID Type / Status
Subject Missouri Route 6 E543187 entity
Predicate passesThrough P225 FINISHED
Object La Belle, 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: La Belle, Missouri | Statement: [Missouri Route 6, passesThrough, La Belle, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Belle, Missouri
Context triple: [Missouri Route 6, passesThrough, La Belle, Missouri]
  • A. La Belle, Missouri chosen
    La Belle, Missouri is a small rural community located in northeastern Missouri within Lewis County.
  • B. Bellamy, Missouri
    Bellamy, Missouri is a small unincorporated community located in rural Vernon County in the western part of the state.
  • C. Brunot, Missouri
    Brunot, Missouri is an unincorporated rural community located in Wayne County in southeastern Missouri.
  • D. Bevier, Missouri
    Bevier, Missouri is a small city located in north-central Missouri that is part of the Macon County region.
  • E. Van Buren, Missouri
    Van Buren, Missouri is a small town in the Ozarks that serves as a popular gateway for outdoor recreation along the Current and Jacks Fork rivers.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276493bc81908567445e901bc3a7 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.