Triple

T20669474
Position Surface form Disambiguated ID Type / Status
Subject Buenos Aires National Wildlife Refuge E507980 entity
Predicate locatedIn 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: [Buenos Aires National Wildlife Refuge, locatedIn, Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arizona
Context triple: [Buenos Aires National Wildlife Refuge, locatedIn, 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
    Arizona is a town in the Atlántida Department of northern Honduras, known for its rural character and proximity to the Caribbean coast.
  • D. Arizona, Texas
    Arizona, Texas is an unincorporated community located within Walker County in the state of Texas, United States.
  • E. 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.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c60a2481908ae3764bc12454e0 completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7da54588190b0f13d8b4d6d4d51 completed May 16, 2026, 8:47 p.m.
Created at: April 16, 2026, 11:44 a.m.