Triple

T7956288
Position Surface form Disambiguated ID Type / Status
Subject Wabaunsee County, Kansas E184745 entity
Predicate hasCity P316 FINISHED
Object McFarland, Kansas E525943 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: McFarland, Kansas | Statement: [Wabaunsee County, Kansas, hasCity, McFarland, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McFarland, Kansas
Context triple: [Wabaunsee County, Kansas, hasCity, McFarland, Kansas]
  • A. McFarland, Kansas chosen
    McFarland, Kansas is a small rural city in Wabaunsee County that forms part of the broader Manhattan, Kansas regional area.
  • B. Nowhere, Kansas
    Nowhere, Kansas is the isolated, eerie rural town that serves as the primary setting of the animated series "Courage the Cowardly Dog."
  • C. McCune, Kansas
    McCune, Kansas is a small rural city located in southeastern Kansas within the Pittsburg micropolitan area.
  • D. Merriam, Kansas
    Merriam, Kansas is a small suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
  • E. Mission, Kansas
    Mission, Kansas is a small suburban city in Johnson County that forms part of the Kansas City metropolitan area.
  • 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_69cd672cb3288190af4f951e65e8d67e completed April 1, 2026, 6:42 p.m.
Created at: March 30, 2026, 5:11 p.m.