Triple

T20260225
Position Surface form Disambiguated ID Type / Status
Subject EADS E498812 entity
Predicate product P490 FINISHED
Object Airbus A380 NE NERFINISHED

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: [EADS, product, Airbus A380]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airbus A380
Context triple: [EADS, product, 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 A330-900neo
    The Airbus A330-900neo is a modern, fuel-efficient wide-body jet airliner designed for medium- to long-haul routes, featuring new-generation engines and updated aerodynamics.
  • E. Airbus A321LR
    The Airbus A321LR is a long-range, single-aisle commercial airliner designed for transatlantic and other extended routes while offering fuel efficiency and high passenger capacity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674c90d00819082f68822635ee86a completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.