Triple

T20637246
Position Surface form Disambiguated ID Type / Status
Subject Mayetta, Kansas E507116 entity
Predicate hasCountySeat P383 FINISHED
Object Holton, 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: Holton, Kansas | Statement: [Mayetta, Kansas, hasCountySeat, Holton, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holton, Kansas
Context triple: [Mayetta, Kansas, hasCountySeat, Holton, Kansas]
  • A. Holton, Kansas chosen
    Holton, Kansas is a small city in northeastern Kansas that serves as an administrative and commercial hub for the surrounding rural area.
  • B. Hoisington, Kansas
    Hoisington, Kansas is a small city in central Kansas known for its railroad heritage and location near the Cheyenne Bottoms wildlife area.
  • C. Horton, Kansas
    Horton, Kansas is a small city in northeastern Kansas known historically as a railroad community within Brown County.
  • D. Hartford, Kansas
    Hartford, Kansas is a small rural city in east-central Kansas known for its close-knit community and agricultural surroundings.
  • E. Halstead, Kansas
    Halstead, Kansas is a small rural city in south-central Kansas known for its agricultural community and historic small-town character.
  • 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad1089448190b936de6fd29c8350 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:42 a.m.