Triple

T13593584
Position Surface form Disambiguated ID Type / Status
Subject Mutare Airport E324755 entity
Predicate hasIATACode P2569 FINISHED
Object UTA E324754 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: UTA | Statement: [Mutare Airport, hasIATACode, UTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTA
Context triple: [Mutare Airport, hasIATACode, UTA]
  • A. UTA chosen
    UTA is the three-letter IATA airport code assigned to Mutare Airport in Zimbabwe.
  • B. UTA
    UTA is the ICAO airline designator used to identify UTair Aviation in international aviation operations.
  • C. UTA
    UTA is a large public research university located in Arlington, Texas, known for its diverse student body and strong engineering, business, and nursing programs.
  • D. UTA
    UTA is the public-facing brand name of the Utah Transit Authority, which operates bus, light rail, commuter rail, and other transit services across the Wasatch Front in Utah.
  • E. Utah State University
    Utah State University is a public land-grant research university in Logan, Utah, known for its strong programs in agriculture, engineering, and natural resources.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8ffc508190a7bc69745c43a644 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.