Triple

T11765575
Position Surface form Disambiguated ID Type / Status
Subject Creek Turnpike E279772 entity
Predicate passesNear P416 FINISHED
Object Owasso, Oklahoma E299221 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: Owasso, Oklahoma | Statement: [Creek Turnpike, passesNear, Owasso, Oklahoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Owasso, Oklahoma
Context triple: [Creek Turnpike, passesNear, Owasso, Oklahoma]
  • A. Owasso chosen
    Owasso is a rapidly growing suburban city in northeastern Oklahoma, located just north of Tulsa in the region known as Green Country.
  • B. Oswalt, Oklahoma
    Oswalt, Oklahoma is a small unincorporated rural community located in southern Oklahoma within Love County.
  • C. Wewoka, Oklahoma
    Wewoka, Oklahoma is a small city in central Oklahoma that serves as the historic headquarters and cultural center of the Seminole Nation.
  • D. Willis, Oklahoma
    Willis, Oklahoma is a small unincorporated community located in Marshall County in southern Oklahoma.
  • E. Woodward, Oklahoma
    Woodward, Oklahoma is a small city in northwestern Oklahoma that serves as a regional hub for agriculture, energy production, and outdoor recreation.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a525948081908af62cc5d4c7c482 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f16695479c819082c6ab12657a2d5f completed April 29, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:41 p.m.