Triple
T17573038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airbus A320neo |
E427985
|
entity |
| Predicate | noiseReductionComparedToA320ceo |
P107081
|
FINISHED |
| Object | reduced external noise footprint |
—
|
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: reduced external noise footprint | Statement: [Airbus A320neo, noiseReductionComparedToA320ceo, reduced external noise footprint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: noiseReductionComparedToA320ceo Context triple: [Airbus A320neo, noiseReductionComparedToA320ceo, reduced external noise footprint]
-
A.
noiseReductionFeature
Indicates that an entity includes or supports a capability to reduce or minimize unwanted noise.
-
B.
noiseReductionType
Indicates the specific method or technique used to reduce or minimize noise in a given context.
-
C.
hasGreaterNoiseReductionThan
chosen
Indicates that one entity provides a higher level of noise reduction compared to another entity.
-
D.
noiseReductionGoal
Indicates the intended target level or objective for reducing noise in a given context or system.
-
E.
hasNoiseAbatementProcedures
Indicates that specific measures or procedures are in place to reduce or control noise associated with the related entity or activity.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e459330c788190907a02fc98e0e24b |
completed | April 19, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.