Triple

T552857
Position Surface form Disambiguated ID Type / Status
Subject Qatar Airways E11877 entity
Predicate operatesAircraftType P1523 FINISHED
Object Airbus A380 E39977 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 A380 | Statement: [Qatar Airways, operatesAircraftType, Airbus A380]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airbus A380
Context triple: [Qatar Airways, operatesAircraftType, Airbus A380]
  • A. Airbus A380 chosen
    The Airbus A380 is a double-deck, wide-body, four-engine jet airliner that is the world's largest passenger aircraft, designed for long-haul, high-capacity flights.
  • B. Airbus A350
    The Airbus A350 is a long-range, wide-body twin-engine jet airliner made largely of composite materials and designed to compete with the Boeing 787 and 777 in fuel-efficient long-haul travel.
  • C. Airbus A340
    The Airbus A340 is a long-range, four-engine wide-body commercial airliner designed for intercontinental passenger flights.
  • D. Airbus Beluga
    The Airbus Beluga is a large, whale-shaped cargo aircraft designed for transporting oversized aerospace components and other outsize freight.
  • E. Boeing 747
    The Boeing 747 is a wide-body, long-range commercial airliner famous for its distinctive hump-backed upper deck and for revolutionizing mass international air travel as one of the first jumbo jets.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991b296481908cf27e1d1ec67052 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e3f90058819081167bac387f8023 completed March 2, 2026, 1:12 a.m.
Created at: March 1, 2026, 7:32 p.m.