Triple

T17928972
Position Surface form Disambiguated ID Type / Status
Subject Chariton County, Missouri E448276 entity
Predicate hasLargestCity P235 FINISHED
Object Salisbury, Missouri 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: Salisbury, Missouri | Statement: [Chariton County, Missouri, hasLargestCity, Salisbury, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salisbury, Missouri
Context triple: [Chariton County, Missouri, hasLargestCity, Salisbury, Missouri]
  • A. Salisbury, Missouri chosen
    Salisbury, Missouri is a small rural city in Chariton County known for its tight-knit community and agricultural surroundings in north-central Missouri.
  • B. Salem, Missouri
    Salem, Missouri is a small city in south-central Missouri known as the birthplace of author Paulette Jiles and as a gateway to the Ozark region.
  • C. Sibley, Missouri
    Sibley, Missouri is a small village in western Missouri known for its proximity to the historic Fort Osage site along the Missouri River.
  • D. Santa Rosa, Missouri
    Santa Rosa, Missouri is a small unincorporated rural community located in DeKalb County in the U.S. state of Missouri.
  • E. Saxton, Missouri
    Saxton, Missouri is a small unincorporated community located in Buchanan County in the northwestern part of the state.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a5511a408190973cf5fa1f286a26 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.