Triple

T12517326
Position Surface form Disambiguated ID Type / Status
Subject Owasso E299221 entity
Predicate county P75 FINISHED
Object Tulsa County E201301 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: Tulsa County | Statement: [Owasso, county, Tulsa County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulsa County
Context triple: [Owasso, county, Tulsa County]
  • A. Tulsa County chosen
    Tulsa County is a county in northeastern Oklahoma that includes the city of Tulsa and serves as a major economic and cultural hub of the state.
  • B. Oklahoma County
    Oklahoma County is a central Oklahoma jurisdiction that includes the state capital, Oklahoma City, and is one of the most populous and economically significant counties in the state.
  • C. Jefferson County, Oklahoma
    Jefferson County, Oklahoma is a rural county in southern Oklahoma known for its agricultural economy and location along the Texas border.
  • D. Sedgwick County
    Sedgwick County is a sparsely populated rural county in the far northeastern corner of Colorado, known for its agricultural landscape and small communities near the Nebraska border.
  • E. Osage County, Oklahoma
    Osage County, Oklahoma is a large county in northeastern Oklahoma that encompasses much of the Osage Nation’s historic and contemporary reservation lands.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541f80148190976d1d912fe155d0 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655745cec8190b5582eb4a339d501 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.