Triple

T7357704
Position Surface form Disambiguated ID Type / Status
Subject The Residence (on selected A380 aircraft) E169666 entity
Predicate amenities P5622 FINISHED
Object large-screen entertainment system 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-screen entertainment system | Statement: [The Residence (on selected A380 aircraft), amenities, large-screen entertainment system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: amenities
Context triple: [The Residence (on selected A380 aircraft), amenities, large-screen entertainment system]
  • A. amenity chosen
    Indicates that one entity provides a useful facility, service, or feature that enhances the convenience or comfort of another entity.
  • B. amenityLevel
    Indicates the degree or quality of facilities, services, or conveniences provided in relation to something.
  • C. hasAmenityAccessTo
    Indicates that an entity has the right or ability to use or benefit from a specified amenity or facility.
  • D. hasFacilities
    Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
  • E. hasMaintenanceFacilities
    Indicates that one entity provides or contains facilities where the other entity can be serviced, repaired, or maintained.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f26d6d6081909c7272a9ccae0d97 completed March 27, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69c6f02d36108190bcb34a95e6a30bd7 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:06 p.m.