Triple

T18475934
Position Surface form Disambiguated ID Type / Status
Subject Marshall County, Kansas E451431 entity
Predicate contains P35 FINISHED
Object Frankfort, 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: Frankfort, Kansas | Statement: [Marshall County, Kansas, contains, Frankfort, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankfort, Kansas
Context triple: [Marshall County, Kansas, contains, Frankfort, Kansas]
  • A. Frankfort, Kansas chosen
    Frankfort, Kansas is a small rural city in Marshall County known for its agricultural community and location in northeastern Kansas.
  • B. Franklin, Kansas
    Franklin, Kansas is a small unincorporated community in southeastern Kansas known historically as a coal mining town.
  • C. Louisville, Kansas
    Louisville, Kansas is a small rural community in Pottawatomie County that forms part of the Manhattan, Kansas region.
  • D. Wellington, Kansas
    Wellington, Kansas is a small city in south-central Kansas known historically as a regional agricultural and railroad hub.
  • E. Hartford, Kansas
    Hartford, Kansas is a small rural city in east-central Kansas known for its close-knit community and agricultural surroundings.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53062f67881909620c4e8fc00eb7d completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:34 a.m.