Triple

T14565335
Position Surface form Disambiguated ID Type / Status
Subject Missouri E341770 entity
Predicate majorCity P316 FINISHED
Object Columbia, Missouri E142920 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: Columbia, Missouri | Statement: [Missouri, majorCity, Columbia, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbia, Missouri
Context triple: [Missouri, majorCity, Columbia, Missouri]
  • A. Columbia, Missouri chosen
    Columbia, Missouri is a mid-sized city in central Missouri best known as a vibrant college town home to the University of Missouri.
  • B. Washington, Missouri
    Washington, Missouri is a small city in eastern Missouri along the Missouri River, known for its historic downtown, German heritage, and role as a regional hub in the state's wine country.
  • C. Clinton, Missouri
    Clinton, Missouri is a small city and county seat in Henry County known as a regional hub for outdoor recreation near Truman Lake in western Missouri.
  • D. Wellington, Missouri
    Wellington, Missouri is a small city situated along the Missouri River in Lafayette County, known for its rural character and historic Midwestern setting.
  • E. Richmond, Missouri
    Richmond, Missouri is a small city in western Missouri known for its agricultural surroundings and role as a local commercial and governmental center.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38c6350819091090ffd15772f6f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9db810c481908dde925ff90f3fa0 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:23 a.m.