Triple

T12370929
Position Surface form Disambiguated ID Type / Status
Subject DB 605D E294997 entity
Predicate aircraftEngineLayout P19520 FINISHED
Object inline engine 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: inline engine | Statement: [DB 605D, aircraftEngineLayout, inline engine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aircraftEngineLayout
Context triple: [DB 605D, aircraftEngineLayout, inline engine]
  • A. aircraftEngineType
    Indicates the specific type or classification of engine that an aircraft uses.
  • B. aircraftEngineMounting
    Indicates that an aircraft engine is attached or secured to a supporting structure or mounting point on the aircraft.
  • C. propulsionLayout chosen
    Indicates how propulsion components are arranged or configured relative to each other within a system.
  • D. aircraftPowerplantType
    Indicates the type or category of powerplant (e.g., engine or propulsion system) used by an aircraft.
  • E. wingMountedEngines
    Indicates that the engines of an aircraft are mounted on its wings rather than on other parts of the airframe.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d942a2d6e08190a13c7ff89af09354 completed April 10, 2026, 6:34 p.m.
PD Predicate disambiguation batch_69d93ecf6b548190a394b6b56a0c1c68 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:54 p.m.