Triple

T24649953
Position Surface form Disambiguated ID Type / Status
Subject Heinkel test pilots E610219 entity
Predicate testedAircraftOfManufacturer P156912 FINISHED
Object Heinkel 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: Heinkel | Statement: [Heinkel test pilots, testedAircraftOfManufacturer, Heinkel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: testedAircraftOfManufacturer
Context triple: [Heinkel test pilots, testedAircraftOfManufacturer, Heinkel]
  • A. appliedToAircraftBuiltBy
    Indicates that something (such as a regulation, modification, or action) is applied specifically to aircraft that were built by a particular manufacturer or builder.
  • B. aircraftManufacturerOfAircraft
    Indicates that a given manufacturer is the producer or builder of a specified aircraft.
  • C. appliedToAircraftDesignedBy
    Indicates that something (such as a component, system, or regulation) is applied to an aircraft that was designed by a specified designer or organization.
  • D. aircraftManufacturerUsed
    Indicates that a particular aircraft manufacturer was employed or utilized in relation to another entity, such as for production, design, or supply purposes.
  • E. developedAircraft
    Indicates that an entity (such as a person or organization) was responsible for designing, creating, or engineering a particular aircraft.
  • F. None of above. chosen

Provenance (4 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_69e2c4d350a481909170482bc2ce6af9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f41011d8048190be70329ba0bfb7c7 completed May 1, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69f40ed9d47881909fcfc0d04e8d074a completed May 1, 2026, 2:24 a.m.
PDg Predicate description generation batch_69f41010f06c81908ee7f773220df14f completed May 1, 2026, 2:29 a.m.
Created at: April 18, 2026, 2:33 a.m.