Triple

T4829723
Position Surface form Disambiguated ID Type / Status
Subject Missouri Bootheel E107914 entity
Predicate contains P35 FINISHED
Object Sikeston, Missouri E339069 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: Sikeston, Missouri | Statement: [Missouri Bootheel, contains, Sikeston, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sikeston, Missouri
Context triple: [Missouri Bootheel, contains, Sikeston, Missouri]
  • A. Sikeston, Missouri chosen
    Sikeston, Missouri is a small city in southeastern Missouri known as a regional transportation hub and gateway between the Mississippi Delta and the Ozark foothills.
  • B. Stockton, Missouri
    Stockton, Missouri is a small city in southwestern Missouri known for its proximity to Stockton Lake and its role as the administrative and commercial center of Cedar County.
  • 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. Buckner, Missouri
    Buckner, Missouri is a small city located in eastern Jackson County within the Kansas City metropolitan area.
  • E. Strasburg, Missouri
    Strasburg, Missouri is a small rural city located in Cass County in western Missouri, United States.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc66c488190a49052e32411dc4b completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67d1d3508190a63a1daccce57da7 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:24 p.m.