Triple

T22722344
Position Surface form Disambiguated ID Type / Status
Subject Maneuvering Characteristics Augmentation System E561894 entity
Predicate postModificationFeature P11742 FINISHED
Object uses inputs from two angle of attack sensors 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: uses inputs from two angle of attack sensors | Statement: [Maneuvering Characteristics Augmentation System, postModificationFeature, uses inputs from two angle of attack sensors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: postModificationFeature
Context triple: [Maneuvering Characteristics Augmentation System, postModificationFeature, uses inputs from two angle of attack sensors]
  • A. postAmendmentFeature chosen
    Indicates that a feature, characteristic, or condition applies only after an amendment has been made or has taken effect.
  • B. laterModification
    Indicates that one entity is a modification or revision that occurs after another in time.
  • C. featureChange
    Indicates a modification in the properties, characteristics, or attributes of an entity between two states or points in time.
  • D. postUse
    Indicates that one entity is used or occurs after another entity has been used or has taken place.
  • E. leafModification
    Indicates a relationship where an entity undergoes or causes a change in the structure, form, or characteristics of a leaf.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17926ae0c8190af8493cab6b15261 completed April 29, 2026, 3:21 a.m.
PD Predicate disambiguation batch_69eed2a971c0819088af574e40c9343f completed April 27, 2026, 3:06 a.m.
Created at: April 17, 2026, 3:20 p.m.