Triple

T525586
Position Surface form Disambiguated ID Type / Status
Subject French Bee E10909 entity
Predicate operatesAircraft P1524 FINISHED
Object Airbus A350-1000 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 A350-1000 | Statement: [French Bee, operatesAircraft, Airbus A350-1000]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airbus A350-1000
Context triple: [French Bee, operatesAircraft, Airbus A350-1000]
  • 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. Airbus A340
    The Airbus A340 is a long-range, four-engine wide-body commercial airliner designed for intercontinental passenger flights.
  • D. 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.
  • E. Airbus Beluga
    The Airbus Beluga is a large, whale-shaped cargo aircraft designed for transporting oversized aerospace components and other outsize freight.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f3b7557c8190a29cf1de359ea2ea completed Feb. 28, 2026, 1:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b8abbfbc819086148dc95b807e06 completed March 1, 2026, 10:07 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.