Triple

T14125357
Position Surface form Disambiguated ID Type / Status
Subject Turney, Missouri E340015 entity
Predicate hasOfficialName P66 FINISHED
Object Turney, Missouri E340015 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: Turney, Missouri | Statement: [Turney, Missouri, hasOfficialName, Turney, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turney, Missouri
Context triple: [Turney, Missouri, hasOfficialName, Turney, Missouri]
  • A. Turney, Missouri chosen
    Turney, Missouri is a small village located in Clinton County in the U.S. state of Missouri.
  • B. Rinehart, Missouri
    Rinehart, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
  • C. Steedman, Missouri
    Steedman, Missouri is a small unincorporated rural community located in Callaway County in the U.S. state of Missouri.
  • D. Edmundson, Missouri
    Edmundson, Missouri is a small suburban city in St. Louis County that forms part of the greater St. Louis metropolitan area.
  • E. Bellamy, Missouri
    Bellamy, Missouri is a small unincorporated community located in rural Vernon County in the western part of the state.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6096976481909dc79066c5165a50 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf06cddcc81909a1ba268f667dc1d completed May 8, 2026, 2:17 p.m.
Created at: April 9, 2026, 10:22 p.m.