Triple

T1763281
Position Surface form Disambiguated ID Type / Status
Subject Airbus A330 E38704 entity
Predicate numberOfAisles P31470 FINISHED
Object 2 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: 2 | Statement: [Airbus A330, numberOfAisles, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfAisles
Context triple: [Airbus A330, numberOfAisles, 2]
  • A. hasAisles
    Indicates that a location or structure contains one or more aisles as part of its internal layout or organization.
  • B. numberOfCorridors
    Indicates the total count of corridors associated with or contained within a given entity or structure.
  • C. numberOfHalls
    Indicates the quantity of halls associated with a given entity or location.
  • D. floorCount
    Indicates the number of floors or levels that a building or structure has.
  • E. numberOfGates
    Indicates the quantity of gates associated with or belonging to an entity.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab173936b4819097332ee185996bbd completed March 6, 2026, 6:04 p.m.
PD Predicate disambiguation batch_69aa61c9e06c819085489e00cfe72153 completed March 6, 2026, 5:10 a.m.
PDg Predicate description generation batch_69ab173830a481908b67928f16f5d999 completed March 6, 2026, 6:04 p.m.
Created at: March 4, 2026, 7:31 p.m.