Triple

T15055591
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 67 E379481 entity
Predicate passesThrough P225 FINISHED
Object Festus, Missouri E840223 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: Festus, Missouri | Statement: [U.S. Route 67, passesThrough, Festus, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Festus, Missouri
Context triple: [U.S. Route 67, passesThrough, Festus, Missouri]
  • A. Festus, Missouri chosen
    Festus, Missouri is a small city in Jefferson County that forms part of the greater St. Louis metropolitan area.
  • B. Neosho, Missouri
    Neosho, Missouri is a small city in southwestern Missouri known for its historic downtown, natural springs, and role as the county seat of Newton County.
  • C. 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.
  • D. Calhoun, Missouri
    Calhoun, Missouri is a small rural village located in Henry County in the west-central region of the state.
  • E. Freeman, Missouri
    Freeman, Missouri is a small rural city located in Cass County in western Missouri, United States.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda937f788190899d81bbb2084443 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff755bbe608190a9a565218eee7005 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 3:01 a.m.