Triple

T15431372
Position Surface form Disambiguated ID Type / Status
Subject Fokker 70 E369648 entity
Predicate derivedFrom P909 FINISHED
Object Fokker 100 E354361 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: Fokker 100 | Statement: [Fokker 70, derivedFrom, Fokker 100]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fokker 100
Context triple: [Fokker 70, derivedFrom, Fokker 100]
  • A. Fokker 100 chosen
    The Fokker 100 is a medium-sized twin-turbofan regional jet airliner developed by the Dutch manufacturer Fokker, widely used by airlines for short- to medium-haul routes.
  • B. Fokker 50
    The Fokker 50 is a twin-turboprop regional airliner developed by Dutch manufacturer Fokker as a modernized successor to the Fokker F27, widely used for short-haul passenger services.
  • C. Fokker 70
    The Fokker 70 is a Dutch-built, twin-engine regional jet airliner designed for short- to medium-haul routes, widely used in Europe during the 1990s and 2000s.
  • D. Fokker 60
    The Fokker 60 is a stretched, military and cargo-oriented variant of Fokker’s turboprop airliner family, designed primarily for transport and maritime patrol roles.
  • E. Fokker F28
    The Fokker F28 is a short-range twin-jet regional airliner developed by Dutch manufacturer Fokker and widely used by airlines around the world from the late 1960s onward.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ed8ea888190bff8dc14859cca31 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a8546948190a69ae1306bc19c64 completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:21 a.m.