Triple

T7377702
Position Surface form Disambiguated ID Type / Status
Subject Marion County, Kansas E170168 entity
Predicate countySeat P383 FINISHED
Object Marion, Kansas E690578 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: Marion, Kansas | Statement: [Marion County, Kansas, countySeat, Marion, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marion, Kansas
Context triple: [Marion County, Kansas, countySeat, Marion, Kansas]
  • A. Marion, Kansas chosen
    Marion, Kansas is a small historic city in central Kansas that serves as the administrative and commercial hub of Marion County.
  • B. Marquette, Kansas
    Marquette, Kansas is a small rural city in central Kansas known for its historic downtown and proximity to the Smoky Valley scenic area.
  • C. St. Marys, Kansas
    St. Marys, Kansas is a small city in northeastern Kansas known for its historic Catholic institutions and traditional community character.
  • D. Kimball, Kansas
    Kimball, Kansas is a small unincorporated community located in Neosho County in southeastern Kansas.
  • E. Willard, Kansas
    Willard, Kansas is a small rural city located in Shawnee County in the northeastern 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1aa12888190b81e37b9fcd2adc0 completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c941f469c881908e83cfd6c8191af1 completed March 29, 2026, 3:15 p.m.
Created at: March 27, 2026, 3:07 p.m.