Triple

T6550962
Position Surface form Disambiguated ID Type / Status
Subject Colbert E151125 entity
Predicate hasNotableToponym P59119 FINISHED
Object Colbert, Oklahoma E566560 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: Colbert, Oklahoma | Statement: [Colbert, hasNotableToponym, Colbert, Oklahoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colbert, Oklahoma
Context triple: [Colbert, hasNotableToponym, Colbert, Oklahoma]
  • A. Colbert, Oklahoma chosen
    Colbert, Oklahoma is a small town in southern Oklahoma near the Texas border, known historically as a Red River crossing and gateway between the two states.
  • B. Shattuck, Oklahoma
    Shattuck, Oklahoma is a small town in northwestern Oklahoma known for its rural character and historic windmill park.
  • C. Kemp, Oklahoma
    Kemp, Oklahoma is a small rural town located in Bryan County in the southern part of the state near the Texas border.
  • D. Kenton, Oklahoma
    Kenton, Oklahoma is a small, remote community in the far western Oklahoma Panhandle known as the gateway to Black Mesa and the state’s highest point.
  • E. Noble, Oklahoma
    Noble, Oklahoma is a small city in Cleveland County known as the "Rose Rock Capital of the World" for its abundant barite rose rock formations.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ae05cd988190a013226b14cd98f0 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55113408190b96baf2747f36e3c completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:51 p.m.