Triple

T5010819
Position Surface form Disambiguated ID Type / Status
Subject Puebloan languages E112613 entity
Predicate region P40 FINISHED
Object Arizona E7404 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: Arizona | Statement: [Puebloan languages, region, Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arizona
Context triple: [Puebloan languages, region, Arizona]
  • A. Arizona chosen
    Arizona is a southwestern U.S. state known for its desert climate, the Grand Canyon, and major cities like Phoenix and Tucson.
  • B. Arizona
    "Arizona" is a 2018 dark comedy thriller film set during the 2009 housing crisis, starring Rosemarie DeWitt and Danny McBride.
  • C. Arizona Territory
    The Arizona Territory was a historical U.S. territorial jurisdiction in the American Southwest that existed from the mid-19th century until it achieved statehood as Arizona in 1912.
  • D. New Mexico
    New Mexico is a southwestern U.S. state known for its diverse landscapes, rich Native American and Hispanic cultural heritage, and historic cities like Santa Fe and Albuquerque.
  • E. Nevada
    Nevada is a western U.S. state known for its vast deserts, legalized gambling, and the entertainment hub of Las Vegas.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd730bdb208190bebd7f22839ab6e5 completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be92557c508190a8c27b974906999f completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.