Triple

T5547778
Position Surface form Disambiguated ID Type / Status
Subject Lewis County, Missouri E145451 entity
Predicate hasCity P316 FINISHED
Object Canton, Missouri E533030 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: Canton, Missouri | Statement: [Lewis County, Missouri, hasCity, Canton, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canton, Missouri
Context triple: [Lewis County, Missouri, hasCity, Canton, Missouri]
  • A. Canton, Missouri chosen
    Canton, Missouri is a small city in northeastern Missouri along the Mississippi River, known for being home to Culver-Stockton College.
  • B. Cleveland, Missouri
    Cleveland, Missouri is a small rural city in southwestern Cass County that forms part of the Kansas City metropolitan area.
  • C. 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.
  • D. Cairo, Missouri
    Cairo, Missouri is a small village located in Randolph County in the central part of the U.S. state of Missouri.
  • E. Hamilton, Missouri
    Hamilton, Missouri is a small town in northwestern Missouri known as the birthplace of retail magnate J. C. Penney.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe0244c8190aeb995f79f22a039 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b08225f08190ac27f066573b4f28 completed March 23, 2026, 3:16 a.m.
Created at: March 22, 2026, 3:35 p.m.