Triple

T23078746
Position Surface form Disambiguated ID Type / Status
Subject Sierra Vista Municipal Airport E575406 entity
Predicate hasPushpinMap P39041 FINISHED
Object USA Arizona NE NERFINISHED

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: USA Arizona | Statement: [Sierra Vista Municipal Airport, hasPushpinMap, USA Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USA Arizona
Context triple: [Sierra Vista Municipal Airport, hasPushpinMap, USA Arizona]
  • A. Arizona
    "Arizona" is a 2018 dark comedy thriller film set during the 2009 housing crisis, starring Rosemarie DeWitt and Danny McBride.
  • B. Arizona
    Arizona is a town in the Atlántida Department of northern Honduras, known for its rural character and proximity to the Caribbean coast.
  • C. Arizona chosen
    Arizona is a southwestern U.S. state known for its desert climate, the Grand Canyon, and major cities like Phoenix and Tucson.
  • D. Arizona, Texas
    Arizona, Texas is an unincorporated community located within Walker County in the state of Texas, United States.
  • 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 (2 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c6572d88190afab0dfa960a85dd completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.