Triple

T11369685
Position Surface form Disambiguated ID Type / Status
Subject Nemaha County, Kansas E269308 entity
Predicate hasJurisdiction P285 FINISHED
Object Bern, Kansas E921800 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: Bern, Kansas | Statement: [Nemaha County, Kansas, hasJurisdiction, Bern, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bern, Kansas
Context triple: [Nemaha County, Kansas, hasJurisdiction, Bern, Kansas]
  • A. Bern, Kansas chosen
    Bern, Kansas is a small rural city located in Nemaha County in northeastern Kansas, United States.
  • B. Marlborough, Kansas
    Marlborough, Kansas is an unincorporated rural community located in Wichita County in western Kansas, United States.
  • C. Bucklin, Kansas
    Bucklin, Kansas is a small rural city in southwestern Kansas known for its agricultural community and location within Ford County.
  • D. Belvue, Kansas
    Belvue, Kansas is a small rural city in Pottawatomie County that functions as part of the greater Manhattan, Kansas regional community.
  • E. Bonner Springs, Kansas
    Bonner Springs, Kansas is a small city in northeastern Kansas known for its historic downtown, riverfront location along the Kansas River, and regional entertainment venues such as the Azura Amphitheater.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea89e1148190b0ca29db9d7e2cbd completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58bdaabd48190ab533c1c7f3b5fd8 completed April 20, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:33 p.m.