Triple

T21318861
Position Surface form Disambiguated ID Type / Status
Subject Belvue, Kansas E525555 entity
Predicate nearCity P350 FINISHED
Object Manhattan, Kansas NE NERFINISHED

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: Manhattan, Kansas | Statement: [Belvue, Kansas, nearCity, Manhattan, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manhattan, Kansas
Context triple: [Belvue, Kansas, nearCity, Manhattan, Kansas]
  • A. Manhattan, Kansas chosen
    Manhattan, Kansas is a city in northeastern Kansas known as the home of Kansas State University and a regional center for education and agriculture.
  • B. Kansas City, Kansas
    Kansas City, Kansas is a city in northeastern Kansas that forms part of the Kansas City metropolitan area across the state line from Kansas City, Missouri.
  • C. Columbus, Kansas
    Columbus, Kansas is a small city in southeastern Kansas known historically as a regional center for agriculture and mining.
  • D. Madison, Kansas
    Madison, Kansas is a small rural city in Greenwood County known for its agricultural surroundings and location in east-central Kansas.
  • E. Garden City, Kansas
    Garden City, Kansas is a small city in southwestern Kansas known as a regional agricultural and commercial hub on the High Plains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ecf12248190bb4172ad7416775e completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:38 p.m.