Triple

T2907384
Position Surface form Disambiguated ID Type / Status
Subject Cheyenne language E63598 entity
Predicate spokenIn P2266 FINISHED
Object Oklahoma E34528 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: Oklahoma | Statement: [Cheyenne language, spokenIn, Oklahoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oklahoma
Context triple: [Cheyenne language, spokenIn, Oklahoma]
  • A. Oklahoma chosen
    Oklahoma is a landlocked state in the south-central United States known for its Native American heritage, energy industry, and mix of Great Plains and forested landscapes.
  • B. Kansas, Alabama
    Kansas, Alabama is a small unincorporated rural community located in Walker County in the U.S. state of Alabama.
  • C. Texas
    Texas is the second-largest U.S. state by both area and population, known for its diverse landscapes, major cities like Houston and Dallas, and significant cultural and economic influence.
  • D. Arkansas
    Arkansas is a landlocked state in the southern United States known for its diverse geography, including the Ozark and Ouachita Mountains, forests, and fertile plains.
  • E. Nebraska
    Nebraska is a landlocked U.S. state on the Great Plains known for its agriculture, prairies, and role as a historic crossroads for westward expansion.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0d0628c81909680af2f0db2ecae completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055cd4e1c8190a2eb97e648aa0080 completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:11 p.m.