Triple

T1284365
Position Surface form Disambiguated ID Type / Status
Subject Vernon County, Missouri E27399 entity
Predicate containsSettlement P847 FINISHED
Object Stotesbury, Missouri E240495 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: Stotesbury, Missouri | Statement: [Vernon County, Missouri, containsSettlement, Stotesbury, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stotesbury, Missouri
Context triple: [Vernon County, Missouri, containsSettlement, Stotesbury, Missouri]
  • A. 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.
  • B. Oakview, Missouri
    Oakview, Missouri is a small suburban village in Clay County that forms part of the Kansas City metropolitan area.
  • C. Levasy, Missouri
    Levasy, Missouri is a small rural city located in eastern Jackson County within the Kansas City metropolitan area.
  • D. Harwood, Missouri chosen
    Harwood, Missouri is a small rural village located in Vernon County in the western part of the state.
  • E. Sheldon, Missouri
    Sheldon, Missouri is a small rural city located in southwestern Missouri within Vernon County.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b599ac819096fca9ada294d939 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d762bb0819092685731269e57c4 completed March 9, 2026, 5:41 a.m.
Created at: March 1, 2026, 7:50 p.m.