Triple

T12043850
Position Surface form Disambiguated ID Type / Status
Subject NCAA Final Four 2017 E286732 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: [NCAA Final Four 2017, region, Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arizona
Context triple: [NCAA Final Four 2017, 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, Texas
    Arizona, Texas is an unincorporated community located within Walker County in the state of Texas, United States.
  • D. D. Ariz.
    D. Ariz. is the standard legal abbreviation for the United States District Court for the District of Arizona, a federal trial court within the Ninth Circuit.
  • E. 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.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f642801881909a94d67c99bfd110 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.