Triple

T25217383
Position Surface form Disambiguated ID Type / Status
Subject Fokker Scourge E631865 entity
Predicate hasMainAircraft P66129 FINISHED
Object Fokker Eindecker 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: Fokker Eindecker | Statement: [Fokker Scourge, hasMainAircraft, Fokker Eindecker]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMainAircraft
Context triple: [Fokker Scourge, hasMainAircraft, Fokker Eindecker]
  • A. hasBasedAircraft
    Indicates that an aircraft is regularly stationed or primarily based at a particular location or facility.
  • B. hadBasedAircraftType
    Indicates that a particular type of aircraft was stationed at or operated from a specific base or location.
  • C. formerPrimaryAircraft chosen
    Indicates that an aircraft previously served as the main or primary aircraft for a given operator or entity, but no longer holds that status.
  • D. usesCarrierAircraft
    Indicates that one entity employs or operates aircraft that are designed to be launched from and recovered by an aircraft carrier.
  • E. isProductionAircraft
    Indicates that an aircraft is a standard, serially produced model rather than a prototype, experimental, or custom-built version.
  • F. None of above.

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_69e75a8d1aa48190a4320acd3654762c completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f6b49436b0819094e21603054d05d4 completed May 3, 2026, 2:36 a.m.
PD Predicate disambiguation batch_69f6b3a5fd8481909433e923c5e24e55 completed May 3, 2026, 2:32 a.m.
Created at: April 21, 2026, 12:59 p.m.