Triple

T10360680
Position Surface form Disambiguated ID Type / Status
Subject Rogers County, Oklahoma E244123 entity
Predicate contains P35 FINISHED
Object Catoosa, Oklahoma E739364 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: Catoosa, Oklahoma | Statement: [Rogers County, Oklahoma, contains, Catoosa, Oklahoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catoosa, Oklahoma
Context triple: [Rogers County, Oklahoma, contains, Catoosa, Oklahoma]
  • A. Catoosa, Oklahoma chosen
    Catoosa, Oklahoma is a small city in Rogers and Wagoner counties near Tulsa, known for its role as an inland port community and its historic Blue Whale roadside attraction.
  • B. Ketchum, Oklahoma
    Ketchum, Oklahoma is a small town in northeastern Oklahoma known for its proximity to Grand Lake O’ the Cherokees and its rural community character.
  • C. Tahlequah, Oklahoma
    Tahlequah, Oklahoma is a small city in northeastern Oklahoma that serves as the governmental and cultural center of the Cherokee Nation.
  • D. Poteau, Oklahoma
    Poteau, Oklahoma is a small city in Le Flore County known as a regional hub in eastern Oklahoma near the Arkansas border, close to Fort Smith.
  • E. Watonga, Oklahoma
    Watonga, Oklahoma is a small city in Blaine County known for its agricultural economy and annual cheese festival.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9609c4481908b7d72ecf1adaa73 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7953205cc8190ad7f28a7436049bc completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:59 a.m.