Triple

T13127051
Position Surface form Disambiguated ID Type / Status
Subject Northeastern Oklahoma E311870 entity
Predicate containsCity P294 FINISHED
Object Owasso 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 | Statement: [Northeastern Oklahoma, containsCity, Owasso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Owasso
Context triple: [Northeastern Oklahoma, containsCity, Owasso]
  • 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. Iowa Falls
    Iowa Falls is a small city in central Iowa known for its scenic location along the Iowa River and historic downtown.
  • C. Onawa, Iowa
    Onawa, Iowa is a small city in western Iowa known for its historic downtown and proximity to the Missouri River.
  • D. Luverne
    Luverne is a small city in southern Alabama that serves as the administrative and commercial hub of Crenshaw County.
  • E. Osceola, Iowa
    Osceola, Iowa is a small city in south-central Iowa that serves as the county seat of Clarke County and a regional hub for transportation and local commerce.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819aac388190b59bf43cc6a49d0c completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28bdd6881909d01e550e99267e1 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:07 p.m.