Triple

T6851527
Position Surface form Disambiguated ID Type / Status
Subject Vernon County, Missouri E158028 entity
Predicate countySeat P383 FINISHED
Object Nevada, Missouri E152612 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: Nevada, Missouri | Statement: [Vernon County, Missouri, countySeat, Nevada, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nevada, Missouri
Context triple: [Vernon County, Missouri, countySeat, Nevada, Missouri]
  • A. Nevada, Missouri chosen
    Nevada, Missouri is a small city in western Missouri that serves as the county seat and regional hub for Vernon County.
  • B. California, Missouri
    California, Missouri is a small city in Moniteau County known for its rural Midwestern character and role as a local hub in central Missouri.
  • C. Nevada, Texas
    Nevada, Texas is a small rural city in Collin County known for its quiet residential character within the Dallas–Fort Worth metropolitan area.
  • D. Lebanon, Missouri
    Lebanon, Missouri is a small city in Laclede County known as a regional hub along historic Route 66 in central Missouri.
  • E. Mokane, Missouri
    Mokane, Missouri is a small village in central Missouri known for its location along the Missouri River and its historic ties to the Missouri–Kansas–Texas (MKT) railroad.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84e6fb08190915954be5b0df2d8 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fd2800c8190997c0bc7ff3e1491 completed March 28, 2026, 1:33 a.m.
Created at: March 27, 2026, 2:20 p.m.