Triple

T24650107
Position Surface form Disambiguated ID Type / Status
Subject Messerschmitt KR200 E610225 entity
Predicate reverseGearMechanism P83501 FINISHED
Object engine reversal LITERAL 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: engine reversal | Statement: [Messerschmitt KR200, reverseGearMechanism, engine reversal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reverseGearMechanism
Context triple: [Messerschmitt KR200, reverseGearMechanism, engine reversal]
  • A. driveMechanism chosen
    Indicates the mechanism or component that transmits power to drive or actuate another part of a system.
  • B. hasNumberOfGears
    Indicates that an entity possesses a specified count of gears as a characteristic or component.
  • C. hasRotationMechanic
    Indicates that the subject includes or supports a gameplay or functional mechanic involving rotation or turning as a core interaction.
  • D. gearRatios
    Indicates the proportional relationship between the rotational speeds or torques of interconnected gears in a mechanical system.
  • E. clockMechanism
    Indicates that one entity functions as the internal mechanism or movement that drives the operation of a clock.
  • 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_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.
Created at: April 18, 2026, 2:33 a.m.