Triple

T2992375
Position Surface form Disambiguated ID Type / Status
Subject Martinair E80785 entity
Predicate fleetType P6198 FINISHED
Object Boeing 777F E23610 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: Boeing 777F | Statement: [Martinair, fleetType, Boeing 777F]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boeing 777F
Context triple: [Martinair, fleetType, Boeing 777F]
  • A. Boeing 777 chosen
    The Boeing 777 is a long-range, wide-body twin-engine jet airliner widely used by airlines around the world for international passenger flights.
  • B. Airbus A330-200F
    The Airbus A330-200F is a dedicated wide-body cargo aircraft variant of the A330 family, designed for medium- to long-haul freight operations.
  • C. Boeing 777X
    The Boeing 777X is Boeing’s latest generation long-range, wide-body twin-engine jet airliner, featuring new composite wings with folding wingtips and upgraded engines for improved efficiency and capacity.
  • D. Airbus A340
    The Airbus A340 is a long-range, four-engine wide-body commercial airliner designed for intercontinental passenger flights.
  • E. McDonnell Douglas MD-11
    The McDonnell Douglas MD-11 is a long-range, wide-body trijet airliner developed as an advanced, stretched successor to the DC-10, used extensively for both passenger and cargo operations.
  • 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_69b20f38a1548190bdddf65853632db1 completed March 12, 2026, 12:56 a.m.
Created at: March 8, 2026, 2:59 p.m.