Triple

T15206251
Position Surface form Disambiguated ID Type / Status
Subject Interstate 335 E363396 entity
Predicate passesThrough P225 FINISHED
Object Shawnee 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: Shawnee County, Kansas | Statement: [Interstate 335, passesThrough, Shawnee County, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shawnee County, Kansas
Context triple: [Interstate 335, passesThrough, Shawnee County, Kansas]
  • A. Shawnee County, Kansas chosen
    Shawnee County, Kansas is a county in northeastern Kansas that includes the state capital, Topeka, as its county seat and largest city.
  • B. Sedgwick County, Kansas
    Sedgwick County, Kansas is a county in south-central Kansas best known for containing Wichita, the state’s largest city and a major regional economic and cultural center.
  • 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. Johnson County, Kansas
    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.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b7964c8190bc8dc3444b94f15e completed April 15, 2026, 9:44 p.m.
Created at: April 10, 2026, 3:11 a.m.