Triple

T10386744
Position Surface form Disambiguated ID Type / Status
Subject Price Tower E244781 entity
Predicate owner P347 FINISHED
Object City of Bartlesville E63640 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: City of Bartlesville | Statement: [Price Tower, owner, City of Bartlesville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Bartlesville
Context triple: [Price Tower, owner, City of Bartlesville]
  • A. Bartlesville chosen
    Bartlesville is a small city in northeastern Oklahoma known for its oil industry heritage and distinctive architecture, including Frank Lloyd Wright’s Price Tower.
  • B. Empire City, Oklahoma
    Empire City is a small town in Stephens County in southern Oklahoma, known for its rural character and close-knit community.
  • C. Baldwin City, Kansas
    Baldwin City, Kansas is a small city in Douglas County known as the home of Baker University and its collegiate athletic programs.
  • D. Elk City
    Elk City is a small city in western Oklahoma known historically for its role as a stop along U.S. Route 66 and its regional oil and gas industry.
  • E. Scott City, Kansas
    Scott City, Kansas is a small rural city in western Kansas that serves as the commercial and agricultural hub of Scott 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9a4e6748190bd9dd319de94c659 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795aa3afc8190aed1ca11556ae34f completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:05 p.m.