Triple

T23069488
Position Surface form Disambiguated ID Type / Status
Subject Montgomery County, Kansas E575151 entity
Predicate contains P35 FINISHED
Object Caney, Kansas 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: Caney, Kansas | Statement: [Montgomery County, Kansas, contains, Caney, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caney, Kansas
Context triple: [Montgomery County, Kansas, contains, Caney, Kansas]
  • A. Caney, Kansas chosen
    Caney, Kansas is a small city in southeastern Kansas known historically for its oil and natural gas production and its location near the Oklahoma border.
  • B. Mayetta, Kansas
    Mayetta, Kansas is a small city in northeastern Kansas that serves as the governmental center of the Prairie Band Potawatomi Nation.
  • C. Carneiro, Kansas
    Carneiro, Kansas is a small unincorporated rural community located in Ellsworth County in central Kansas.
  • D. Nickerson, Kansas
    Nickerson, Kansas is a small city in central Kansas known for its rural community character and location within the Hutchinson micropolitan area.
  • E. Thayer, Kansas
    Thayer, Kansas is a small rural city located in Neosho County in southeastern Kansas, known for its agricultural surroundings and small-town 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a676c08190863c034663406018 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.