Triple

T22477444
Position Surface form Disambiguated ID Type / Status
Subject Boeing 737 MAX E555670 entity
Predicate softwareSystem P148351 FINISHED
Object Maneuvering Characteristics Augmentation System NE NERFINISHED

How this triple was built (3 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: Maneuvering Characteristics Augmentation System | Statement: [Boeing 737 MAX, softwareSystem, Maneuvering Characteristics Augmentation System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maneuvering Characteristics Augmentation System
Context triple: [Boeing 737 MAX, softwareSystem, Maneuvering Characteristics Augmentation System]
  • A. Maneuvering Characteristics Augmentation System chosen
    The Maneuvering Characteristics Augmentation System (MCAS) is an automated flight-control feature on Boeing 737 MAX aircraft designed to adjust the aircraft’s pitch based on sensor inputs, and it became widely known after its role in two fatal crashes led to the global grounding of the MAX fleet.
  • B. Boyd energy-maneuverability theory
    Boyd energy-maneuverability theory is a fighter aircraft performance framework developed by U.S. Air Force Colonel John Boyd that uses energy concepts to analyze and optimize an aircraft’s maneuverability and combat effectiveness.
  • C. Enhanced Avionics System
    The Enhanced Avionics System (EASy) is a modern integrated flight deck suite designed to improve pilot situational awareness, automation, and operational efficiency in advanced aircraft.
  • D. Attitude and Articulation Control Subsystem computer
    The Attitude and Articulation Control Subsystem computer is the dedicated onboard system on Voyager 2 responsible for controlling the spacecraft’s orientation and the pointing of its instruments and antennas.
  • E. Integrated Aviation Systems Program
    The Integrated Aviation Systems Program is a NASA aeronautics initiative that conducts flight research and technology demonstrations to advance safer, more efficient, and transformative aviation systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: softwareSystem
Context triple: [Boeing 737 MAX, softwareSystem, Maneuvering Characteristics Augmentation System]
  • A. softwareName
    Indicates that one entity is the name or title of a software application associated with another entity.
  • B. softwareLibrary
    Indicates that one entity is a software library that provides code, functionality, or services used by another entity.
  • C. softwareFor
    Indicates that one entity is designed, intended, or used to operate on, support, or be compatible with another entity as software.
  • D. developedSoftware
    Indicates that one entity created, programmed, or significantly contributed to the creation of a particular software system or application for another entity or purpose.
  • E. softwareDomain
    Indicates that something belongs to, operates within, or is associated with a particular area or field of software.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be58ed08190b88706a7cb85616b completed April 29, 2026, 1:16 a.m.
PD Predicate disambiguation batch_69e898b6eee08190ba673a0ee329e671 completed April 22, 2026, 9:45 a.m.
PDg Predicate description generation batch_69e8aa39e3388190b659d59948ebf3e6 completed April 22, 2026, 11 a.m.
Created at: April 16, 2026, 8:49 p.m.