Triple

T4287496
Position Surface form Disambiguated ID Type / Status
Subject ATR 72 E97304 entity
Predicate manufacturer P490 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: [ATR 72, manufacturer, ATR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ATR
Context triple: [ATR 72, manufacturer, 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3505ef9fc81909c73e64bf77052ce completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c72bec388190b03048507e2e6858 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.