Triple

T19113851
Position Surface form Disambiguated ID Type / Status
Subject Forney Army Airfield E467855 entity
Predicate servesCity P82 FINISHED
Object St. Robert, 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: St. Robert, Missouri | Statement: [Forney Army Airfield, servesCity, St. Robert, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Robert, Missouri
Context triple: [Forney Army Airfield, servesCity, St. Robert, Missouri]
  • A. St. Robert, Missouri chosen
    St. Robert, Missouri is a small city in Pulaski County that serves as a primary civilian gateway and service community for the nearby U.S. Army installation at Fort Leonard Wood.
  • B. Santa Rosa, Missouri
    Santa Rosa, Missouri is a small unincorporated rural community located in DeKalb County in the U.S. state of Missouri.
  • C. St. Martins, Missouri
    St. Martins, Missouri is a small city located in central Missouri that functions as part of the Jefferson City metropolitan area.
  • D. Steedman, Missouri
    Steedman, Missouri is a small unincorporated rural community located in Callaway County in the U.S. state of Missouri.
  • E. Rockville, Missouri
    Rockville, Missouri is a small rural town located in Bates County in western Missouri, known for its agricultural surroundings and close-knit community.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e39617408190b5134918f54f9c52 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.