Triple

T15851726
Position Surface form Disambiguated ID Type / Status
Subject Short Mayo Composite E384355 entity
Predicate registrationUpperAircraft P5244 FINISHED
Object G-ADHJ 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: G-ADHJ | Statement: [Short Mayo Composite, registrationUpperAircraft, G-ADHJ]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: registrationUpperAircraft
Context triple: [Short Mayo Composite, registrationUpperAircraft, G-ADHJ]
  • A. aircraftRegistration chosen
    Indicates that an aircraft is assigned a specific official registration identifier or code.
  • B. airshipRegistration
    Indicates the formal registration relationship between an airship and the authority or registry that records its official details and identification.
  • C. usedByAircraftRegisteredIn
    Indicates that something (such as equipment, a system, or a facility) is utilized by aircraft that are registered in a specified jurisdiction or registry.
  • D. additionalAircraft
    Indicates that one aircraft is an extra or supplementary aircraft associated with another aircraft or flight operation.
  • E. carrierAircraft
    Indicates that an aircraft is designed, equipped, or used to operate from an aircraft carrier.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69e142b976c081908d3ba3e705419f3a completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:50 a.m.