Triple

T12242052
Position Surface form Disambiguated ID Type / Status
Subject Mayview, Missouri E291756 entity
Predicate hasAbbreviation P43 FINISHED
Object Mayview, MO E291756 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: Mayview, MO | Statement: [Mayview, Missouri, hasAbbreviation, Mayview, MO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayview, MO
Context triple: [Mayview, Missouri, hasAbbreviation, Mayview, MO]
  • A. Mayview, Missouri chosen
    Mayview, Missouri is a small city located in Lafayette County in the western part of the state.
  • B. Oakview, Missouri
    Oakview, Missouri is a small suburban village in Clay County that forms part of the Kansas City metropolitan area.
  • C. Centerview, Missouri
    Centerview, Missouri is a small rural village located in Johnson County in the western part of the state.
  • D. Auxvasse, Missouri
    Auxvasse, Missouri is a small city in central Missouri known for its rural character and location within Callaway County.
  • E. Fairview, Missouri
    Fairview, Missouri is a small rural city in southwestern 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 (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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb59ce4819099999b8755fb8b98 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab5a404819089f9ea868deda10c completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.