Triple

T3293190
Position Surface form Disambiguated ID Type / Status
Subject UTair Aviation E69148 entity
Predicate usesAircraftManufacturer P1849 FINISHED
Object ATR E219287 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: ATR | Statement: [UTair Aviation, usesAircraftManufacturer, ATR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ATR
Context triple: [UTair Aviation, usesAircraftManufacturer, ATR]
  • A. ATR chosen
    ATR is a Franco-Italian aircraft manufacturer best known for producing regional turboprop airliners widely used by airlines around the world.
  • B. ATR 72
    The ATR 72 is a twin-engine turboprop regional airliner widely used by airlines around the world for short-haul passenger flights.
  • C. ATR 42
    The ATR 42 is a twin-turboprop, short-haul regional airliner developed by the French-Italian manufacturer ATR, widely used by airlines for commuter and regional routes.
  • D. ATA-3
    ATA-3 is the third generation of the AT Attachment (ATA) interface standard for connecting storage devices like hard drives and optical drives to computers, introducing enhancements in performance and reliability over earlier versions.
  • E. ATC
    ATC (Anatomical Therapeutic Chemical Classification System) is a widely used international system for classifying drugs according to the organ or system they act on and their therapeutic, pharmacological, and chemical properties.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb074f35081909dd3c8a09544b5f1 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86895988190a7acaa5948b50bcd completed March 12, 2026, 4:23 p.m.
Created at: March 8, 2026, 3:10 p.m.