Triple

T18340937
Position Surface form Disambiguated ID Type / Status
Subject Antioch Park E439398 entity
Predicate locatedIn P40 FINISHED
Object Johnson County, 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: Johnson County, Kansas | Statement: [Antioch Park, locatedIn, Johnson County, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnson County, Kansas
Context triple: [Antioch Park, locatedIn, 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 (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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ed146fc819092b08cb91defb03b completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:37 a.m.