Triple

T1799121
Position Surface form Disambiguated ID Type / Status
Subject Airbus A350 E39672 entity
Predicate familyIncludes P3600 FINISHED
Object Airbus A350-800 E39672 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 A350-800 | Statement: [Airbus A350, familyIncludes, Airbus A350-800]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airbus A350-800
Context triple: [Airbus A350, familyIncludes, Airbus A350-800]
  • A. Airbus A350 chosen
    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.
  • B. Airbus A380
    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.
  • C. Boeing 787 Dreamliner
    The Boeing 787 Dreamliner is a long-haul, wide-body commercial airliner known for its fuel efficiency, extensive use of composite materials, and advanced passenger comfort features.
  • D. Airbus A340
    The Airbus A340 is a long-range, four-engine wide-body commercial airliner designed for intercontinental passenger flights.
  • E. 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.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6568373c81908044e0cd8a38344d completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae303ee60c819093a70e0e6a431c01 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:32 p.m.