Triple

T3802633
Position Surface form Disambiguated ID Type / Status
Subject Lenexa, Kansas E91724 entity
Predicate locatedNear P294 FINISHED
Object Shawnee, Kansas E92541 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: Shawnee, Kansas | Statement: [Lenexa, Kansas, locatedNear, Shawnee, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shawnee, Kansas
Context triple: [Lenexa, Kansas, locatedNear, Shawnee, Kansas]
  • A. Shawnee, Kansas chosen
    Shawnee, Kansas is a suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
  • B. Springfield, Kansas
    Springfield, Kansas is a small rural community in the U.S. state of Kansas, notable here as the birthplace of Oliver Brown of the landmark Brown v. Board of Education case.
  • C. Merriam, Kansas
    Merriam, Kansas is a small suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
  • D. De Soto, Kansas
    De Soto, Kansas is a small city in northeastern Kansas that forms part of the 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bacf2881908198a77063d15d16 completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5560d5ad4819086d7c34e53afb4f6 completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:15 p.m.