Triple

T22971230
Position Surface form Disambiguated ID Type / Status
Subject Beagle E571190 entity
Predicate subjectAircraftNotableVariant P150446 FINISHED
Object Il-28R reconnaissance variant 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: Il-28R reconnaissance variant | Statement: [Beagle, subjectAircraftNotableVariant, Il-28R reconnaissance variant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectAircraftNotableVariant
Context triple: [Beagle, subjectAircraftNotableVariant, Il-28R reconnaissance variant]
  • A. referredAircraftNotableFeature
    Indicates that a referenced aircraft is associated with a notable or distinguishing feature.
  • B. specificCarrierAircraftVariant
    Indicates that one aircraft variant is a specific version designed or adapted for carrier-based operations of another, more general aircraft variant.
  • C. usesAircraftVariant
    Indicates that one entity operates or employs a specific variant or version of an aircraft.
  • D. usedInVariantOfAircraft
    Indicates that something (such as a component, system, or design feature) is utilized in a particular variant of an aircraft.
  • E. notableImportedAircraft
    Indicates that an entity is notably recognized for having imported a particular aircraft model or type.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1823370fc819084a13d6e4eb6e44e completed April 29, 2026, 3:59 a.m.
PD Predicate disambiguation batch_69ef3b9101f48190a06c69dff26c6441 completed April 27, 2026, 10:33 a.m.
PDg Predicate description generation batch_69ef538a115081908982597f79355840 completed April 27, 2026, 12:16 p.m.
Created at: April 17, 2026, 3:48 p.m.