Triple

T5985953
Position Surface form Disambiguated ID Type / Status
Subject Southwestern Missouri E133225 entity
Predicate hasCity P316 FINISHED
Object Branson, Missouri E152437 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: Branson, Missouri | Statement: [Southwestern Missouri, hasCity, Branson, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Branson, Missouri
Context triple: [Southwestern Missouri, hasCity, Branson, Missouri]
  • A. Branson, Missouri chosen
    Branson, Missouri is a popular tourist city in the Ozark Mountains known for its live entertainment theaters, family attractions, and outdoor recreation.
  • B. Branson
    Branson is the surname of British entrepreneur and Virgin Group founder Richard Branson.
  • C. 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.
  • D. Scott, Missouri
    Scott, Missouri is a small unincorporated community located in Cole County in the central region of the U.S. state of Missouri.
  • E. Wellington, Missouri
    Wellington, Missouri is a small city situated along the Missouri River in Lafayette County, known for its rural character and historic Midwestern setting.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc2243c8190bd3488e7b24af985 completed March 22, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e42a0fcc8190ab8d7f797b58a8e0 completed March 23, 2026, 6:56 a.m.
Created at: March 22, 2026, 4:04 p.m.