Triple

T12222152
Position Surface form Disambiguated ID Type / Status
Subject Kearny County, Kansas E291244 entity
Predicate countySeat P383 FINISHED
Object Lakin, Kansas E1038161 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: Lakin, Kansas | Statement: [Kearny County, Kansas, countySeat, Lakin, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakin, Kansas
Context triple: [Kearny County, Kansas, countySeat, Lakin, Kansas]
  • A. Lakin, Kansas chosen
    Lakin, Kansas is a small city in southwestern Kansas that serves as the administrative and economic center of Kearny County.
  • B. Wilson, Kansas
    Wilson, Kansas is a small rural city in central Kansas known for its Czech heritage and location near Wilson Lake.
  • C. Lewis, Kansas
    Lewis, Kansas is a small rural city located in Edwards County in south-central Kansas, United States.
  • D. Nowhere, Kansas
    Nowhere, Kansas is the isolated, eerie rural town that serves as the primary setting of the animated series "Courage the Cowardly Dog."
  • E. Park, Kansas
    Park, Kansas is a small rural city located in Gove County in western Kansas, known for its agricultural surroundings and tight-knit community.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c961d648190ad6ce5f7d228eee4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739668f3481909cc7564c3ede2896 completed May 3, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:51 p.m.