Triple

T7956285
Position Surface form Disambiguated ID Type / Status
Subject Wabaunsee County, Kansas E184745 entity
Predicate hasCity P316 FINISHED
Object Eskridge, Kansas E691325 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: Eskridge, Kansas | Statement: [Wabaunsee County, Kansas, hasCity, Eskridge, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eskridge, Kansas
Context triple: [Wabaunsee County, Kansas, hasCity, Eskridge, Kansas]
  • A. Eskridge, Kansas chosen
    Eskridge, Kansas is a small rural city in Wabaunsee County known for its location in the Flint Hills region of the state.
  • B. Ellis, Kansas
    Ellis, Kansas is a small city in western Kansas known as the boyhood home of automotive pioneer Walter P. Chrysler and for its railroad heritage.
  • C. Ellsworth, Kansas
    Ellsworth, Kansas is a small central Kansas city historically known as a 19th-century cattle town and later as the site of institutions such as St. Joseph Military Academy.
  • D. Neodesha, Kansas
    Neodesha, Kansas is a small city in Wilson County known historically as an early Midwestern oil boom town and part of the Southeast Kansas region.
  • E. Tecumseh, Kansas
    Tecumseh, Kansas is a small unincorporated community in northeastern Kansas, located just east of Topeka along the Kansas River.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b7d36c081908cc8760a0dbf6001 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd33cf48188190b57ac2fb1dbfa771 completed April 1, 2026, 3:03 p.m.
Created at: March 30, 2026, 5:11 p.m.