Triple

T13848215
Position Surface form Disambiguated ID Type / Status
Subject De Soto, Kansas E332864 entity
Predicate county P75 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: [De Soto, Kansas, county, Johnson County, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnson County, Kansas
Context triple: [De Soto, Kansas, county, 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b2a9788190b164760adec64ef6 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcd08c21a48190b4077d5acb4ab658 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:14 p.m.