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.