Triple

T4543270
Position Surface form Disambiguated ID Type / Status
Subject Ozark Plateau E109986 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: [Ozark Plateau, hasCity, Branson, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Branson, Missouri
Context triple: [Ozark Plateau, 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. 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.
  • D. Columbia, Missouri
    Columbia, Missouri is a mid-sized city in central Missouri best known as a vibrant college town home to the University of Missouri.
  • E. Clark, Missouri
    Clark, Missouri is a small rural village located in Randolph County in the central part of the U.S. state of Missouri.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57d517e881909c3d23ed4453b0a7 completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb92eeaf081909a868825e3a878c7 completed March 20, 2026, 9:16 p.m.
Created at: March 20, 2026, 1:05 p.m.