Triple

T1606995
Position Surface form Disambiguated ID Type / Status
Subject Kansas River E34526 entity
Predicate crosses P416 FINISHED
Object Wyandotte County, Kansas E60211 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: Wyandotte County, Kansas | Statement: [Kansas River, crosses, Wyandotte County, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wyandotte County, Kansas
Context triple: [Kansas River, crosses, Wyandotte County, Kansas]
  • A. Wyandotte County, Kansas chosen
    Wyandotte County, Kansas is an urban county in northeastern Kansas that includes Kansas City, Kansas, and serves as a major industrial and transportation hub in the Kansas City metropolitan area.
  • B. Wichita County, Kansas
    Wichita County, Kansas is a sparsely populated rural county in western Kansas known for its agricultural landscape and small communities on the High Plains.
  • C. 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.
  • 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. 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.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9096cd0b88190bac21b46c3ed453f completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3a390bc8190891ebd5d8a48d818 completed March 9, 2026, 11:48 a.m.
Created at: March 4, 2026, 7:28 p.m.