Triple

T6492066
Position Surface form Disambiguated ID Type / Status
Subject Blue River E148062 entity
Predicate flowsThrough P225 FINISHED
Object Johnson County, Kansas E60513 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: Johnson County, Kansas | Statement: [Blue River, flowsThrough, Johnson County, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnson County, Kansas
Context triple: [Blue River, flowsThrough, Johnson County, Kansas]
  • A. Johnson County, Kansas chosen
    Johnson County, Kansas is a populous suburban county in the Kansas City metropolitan area known for its affluent communities, strong public schools, and robust local economy.
  • B. Shawnee County, Kansas
    Shawnee County, Kansas is a county in northeastern Kansas that includes the state capital, Topeka, as its county seat and largest city.
  • C. Douglas County, Kansas
    Douglas County, Kansas is a county in northeastern Kansas best known as the home of the city of Lawrence and the University of Kansas.
  • D. Riley County, Kansas
    Riley County, Kansas is a county in northeastern Kansas known for being home to the city of Manhattan and Kansas State University.
  • E. Butler County, Kansas
    Butler County, Kansas is a county in south-central Kansas named in honor of U.S. Senator Andrew Butler.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9bf9208190b0957eda06ed3d65 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9161f95a08190b68772a507936046 completed March 29, 2026, 12:07 p.m.
Created at: March 22, 2026, 4:53 p.m.