Triple

T23030838
Position Surface form Disambiguated ID Type / Status
Subject Cumberland, Oklahoma E573449 entity
Predicate hasName P744 FINISHED
Object Cumberland, Oklahoma NE NERFINISHED

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: Cumberland, Oklahoma | Statement: [Cumberland, Oklahoma, hasName, Cumberland, Oklahoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cumberland, Oklahoma
Context triple: [Cumberland, Oklahoma, hasName, Cumberland, Oklahoma]
  • A. Cumberland, Oklahoma chosen
    Cumberland, Oklahoma is a small unincorporated community located in Marshall County in southern Oklahoma, near Lake Texoma.
  • 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. Crowder, Oklahoma
    Crowder, Oklahoma is a small town in Pittsburg County known for its rural community character and proximity to Lake Eufaula.
  • D. Corum, Oklahoma
    Corum, Oklahoma is a small unincorporated rural community located in southern Oklahoma within Stephens County.
  • E. Kendrick, Oklahoma
    Kendrick, Oklahoma is a small rural town located in central Oklahoma within Lincoln County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18481072c81909ab2a2c87e034433 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:53 p.m.