Triple

T14012803
Position Surface form Disambiguated ID Type / Status
Subject Roeland Park, Kansas E337127 entity
Predicate borders P224 FINISHED
Object Westwood, Kansas E342164 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: Westwood, Kansas | Statement: [Roeland Park, Kansas, borders, Westwood, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westwood, Kansas
Context triple: [Roeland Park, Kansas, borders, Westwood, Kansas]
  • A. Westwood, Kansas chosen
    Westwood, Kansas is a small suburban city in the Kansas City metropolitan area known for its residential neighborhoods and proximity to downtown Kansas City.
  • B. Westwood Hills, Kansas
    Westwood Hills, Kansas is a small residential city in the Kansas City metropolitan area known for its tree-lined streets and historic neighborhood character.
  • C. White City, Kansas
    White City, Kansas is a small rural town in Morris County that forms part of the Manhattan, Kansas metropolitan area.
  • D. Willard, Kansas
    Willard, Kansas is a small rural city located in Shawnee County in the northeastern part of the state.
  • E. Wilsey, Kansas
    Wilsey, Kansas is a small rural city located in central Kansas within the Flint Hills region.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f37d11481909159bdb9e1e8d38e completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd192ee1ac81908663ebd2e06784f1 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 10:19 p.m.