Triple

T135695
Position Surface form Disambiguated ID Type / Status
Subject SOFIA airborne observatory operations E2740 entity
Predicate aircraftModification P5243 FINISHED
Object large fuselage door for telescope access 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: large fuselage door for telescope access | Statement: [SOFIA airborne observatory operations, aircraftModification, large fuselage door for telescope access]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aircraftModification
Context triple: [SOFIA airborne observatory operations, aircraftModification, large fuselage door for telescope access]
  • A. aircraftConfiguration
    Indicates the specific arrangement or setup of an aircraft’s components, systems, or features for a given purpose or operating condition.
  • B. aircraftType
    Indicates the specific model or category of aircraft associated with an entity or event.
  • C. aircraft
    Indicates that an entity is an aircraft or functions in the role of an aircraft in the described context.
  • 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. cockpitType
    Indicates the specific configuration or style of cockpit associated with an entity (e.g., vehicle or 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257a3ad908190b6a8652f09ae0cbb completed Feb. 28, 2026, 2:49 a.m.
PD Predicate disambiguation batch_69a25651b9048190a6277b7fec98c1ea completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a256c72f6c81909b619b90d829d86e completed Feb. 28, 2026, 2:45 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.