Triple

T3109059
Position Surface form Disambiguated ID Type / Status
Subject Arapaho language E64905 entity
Predicate primaryRegion P1103 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: [Arapaho language, primaryRegion, Oklahoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oklahoma
Context triple: [Arapaho language, primaryRegion, 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada2a0ab2481908db50738ec3ad0fb completed March 8, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2035055148190ad1cdd6374820e60 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:04 p.m.