Triple

T35779822
Position Surface form Disambiguated ID Type / Status
Subject Boeing 747-400F E1034405 entity
Predicate noseDoor P23859 FINISHED
Object yes 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: yes | Statement: [Boeing 747-400F, noseDoor, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: noseDoor
Context triple: [Boeing 747-400F, noseDoor, yes]
  • A. fromNoseCame
    Indicates that something originated from or was expelled out of a nose.
  • B. hasDoor chosen
    Indicates that one entity possesses or is equipped with a door that provides access to or through it.
  • C. noseGearFeature
    Indicates that there is a specific characteristic, component, or design attribute associated with the nose landing gear of an aircraft.
  • D. ホームドア
    Indicates the presence or installation of platform screen doors (safety barriers) along a train or subway platform.
  • E. noseleaf
    Indicates that an entity possesses or is characterized by a specialized leaf-like structure on or around the nose, typically associated with certain animals (such as bats).
  • 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_69f76e14a1e081908eddd57bd6fdb3be completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a1feb5a48190bfc05dd6110ef41f completed May 3, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69f7a070e23881909a233370acb57384 completed May 3, 2026, 7:22 p.m.
Created at: May 3, 2026, 4:06 p.m.