Triple

T2992390
Position Surface form Disambiguated ID Type / Status
Subject Martinair E80785 entity
Predicate operatedAircraftType P1524 FINISHED
Object Airbus A310 E37816 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: Airbus A310 | Statement: [Martinair, operatedAircraftType, Airbus A310]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airbus A310
Context triple: [Martinair, operatedAircraftType, Airbus A310]
  • A. Airbus A310 chosen
    The Airbus A310 is a twin-engine, wide-body jet airliner introduced in the early 1980s as a shorter, more efficient derivative of the Airbus A300 for medium- to long-haul routes.
  • B. Airbus A300
    The Airbus A300 is a wide-body twin-engine jet airliner introduced in the 1970s as Airbus’s first commercial aircraft and one of the world’s earliest twin-engine wide-bodies.
  • C. Airbus A340
    The Airbus A340 is a long-range, four-engine wide-body commercial airliner designed for intercontinental passenger flights.
  • D. Airbus A330
    The Airbus A330 is a wide-body, twin-engine jet airliner designed for medium- to long-haul routes and widely used by airlines around the world.
  • E. Airbus A321
    The Airbus A321 is a stretched, single-aisle commercial jet airliner widely used for short- to medium-haul passenger flights.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99e12c5c8190af7cc20e4c48bf45 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c5ab7988190882df3b8198ad88a completed March 14, 2026, 8:29 a.m.
Created at: March 8, 2026, 2:59 p.m.