Triple

T6536746
Position Surface form Disambiguated ID Type / Status
Subject Russell County, Kansas E168182 entity
Predicate countySeat P383 FINISHED
Object Russell, Kansas E667112 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: Russell, Kansas | Statement: [Russell County, Kansas, countySeat, Russell, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russell, Kansas
Context triple: [Russell County, Kansas, countySeat, Russell, Kansas]
  • A. Russell, Kansas chosen
    Russell, Kansas is a small central Kansas city known as the hometown of former U.S. Senator and presidential candidate Bob Dole.
  • B. Watson, Kansas
    Watson, Kansas is a small unincorporated rural community located in Shawnee County in the U.S. state of Kansas.
  • C. Mission, Kansas
    Mission, Kansas is a small suburban city in Johnson County that forms part of the Kansas City metropolitan area.
  • D. Kimball, Kansas
    Kimball, Kansas is a small unincorporated community located in Neosho County in southeastern Kansas.
  • E. Parsons, Kansas
    Parsons, Kansas is a small city in Labette County known historically as a regional railroad hub and industrial center in southeastern 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add33acc8190bb0a9531648198f2 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c364d248190a5ce03fd52de91ba completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 1:49 p.m.