Triple

T9936640
Position Surface form Disambiguated ID Type / Status
Subject A30B E193974 entity
Predicate hasFuselageConfiguration P11768 FINISHED
Object wide-body 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: wide-body | Statement: [A30B, hasFuselageConfiguration, wide-body]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFuselageConfiguration
Context triple: [A30B, hasFuselageConfiguration, wide-body]
  • A. fuselageType chosen
    Indicates the specific structural or design category of an aircraft’s fuselage that an entity belongs to or uses.
  • B. hasWingConfiguration
    Indicates how an entity’s wings are arranged, structured, or configured relative to its body or to each other.
  • C. fuselageVariant
    Indicates that one fuselage is a specific version or variant derived from another fuselage design.
  • D. fuselageShape
    Indicates the geometric form or contour of an object's fuselage, describing how its main body is shaped.
  • E. fuselageCount
    Indicates the number of fuselages associated with or contained in an aircraft or aerospace structure.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e4e19881909879b394090d6629 completed April 2, 2026, 12:18 a.m.
PD Predicate disambiguation batch_69cd1d9428cc81909b4b4938566d78a7 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:44 p.m.