Triple

T6061922
Position Surface form Disambiguated ID Type / Status
Subject Northeastern Missouri E135051 entity
Predicate hasCity P316 FINISHED
Object Clarence, Missouri E533028 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: Clarence, Missouri | Statement: [Northeastern Missouri, hasCity, Clarence, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clarence, Missouri
Context triple: [Northeastern Missouri, hasCity, Clarence, Missouri]
  • A. Clarence, Missouri chosen
    Clarence, Missouri is a small rural city in northeastern Missouri known for its agricultural community and small-town character.
  • B. Clark, Missouri
    Clark, Missouri is a small rural village located in Randolph County in the central part of the U.S. state of Missouri.
  • 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. 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.
  • E. Columbia, Missouri
    Columbia, Missouri is a mid-sized city in central Missouri best known as a vibrant college town home to the University of Missouri.
  • 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0572100e8819084c3174921a2d527 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eec098348190a01ca8eca035592c completed March 27, 2026, 8:55 p.m.
Created at: March 22, 2026, 4:10 p.m.