Triple

T4865881
Position Surface form Disambiguated ID Type / Status
Subject Manhattan, Kansas Metropolitan Statistical Area E108768 entity
Predicate includesCity P3207 FINISHED
Object Wamego, Kansas E398596 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: Wamego, Kansas | Statement: [Manhattan, Kansas Metropolitan Statistical Area, includesCity, Wamego, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wamego, Kansas
Context triple: [Manhattan, Kansas Metropolitan Statistical Area, includesCity, Wamego, Kansas]
  • A. Wamego, Kansas chosen
    Wamego, Kansas is a small city in northeastern Kansas known for its agricultural roots, community-focused atmosphere, and attractions like its Oz-themed tourism sites.
  • B. Mayetta, Kansas
    Mayetta, Kansas is a small city in northeastern Kansas that serves as the governmental center of the Prairie Band Potawatomi Nation.
  • C. Willard, Kansas
    Willard, Kansas is a small rural city located in Shawnee County in the northeastern part of the state.
  • D. De Soto, Kansas
    De Soto, Kansas is a small city in northeastern Kansas that forms part of the Kansas City metropolitan area.
  • E. Wakarusa, Kansas
    Wakarusa, Kansas is a small unincorporated rural community located in Shawnee County in the northeastern part of the state.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d7a42f88190bb1ef7261bcbc2a8 completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c27ce8c81908253c7639207fd3c completed March 22, 2026, 4:12 a.m.
Created at: March 20, 2026, 1:26 p.m.