Triple
T17573039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airbus A320neo |
E427985
|
entity |
| Predicate | emissionsReduction |
P68089
|
FINISHED |
| Object | lower CO2 emissions per seat |
—
|
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: lower CO2 emissions per seat | Statement: [Airbus A320neo, emissionsReduction, lower CO2 emissions per seat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emissionsReduction Context triple: [Airbus A320neo, emissionsReduction, lower CO2 emissions per seat]
-
A.
emissionsControl
Indicates a relationship where one entity regulates, limits, or manages the release of emissions produced by another entity or process.
-
B.
climateProtection
Indicates actions, policies, or measures aimed at preventing, reducing, or mitigating harmful impacts on the climate and stabilizing the Earth’s climate system.
-
C.
environmentalImpactGoal
Indicates a goal or target set to influence, reduce, or manage the environmental impact associated with an entity or activity.
-
D.
hasEnvironmentalMitigation
Indicates that an entity has associated measures, actions, or features intended to reduce, offset, or manage its negative environmental impacts.
-
E.
emissionsComparedToPredecessor
chosen
Indicates how the emissions of an entity compare in magnitude (e.g., higher, lower, or equal) to those of its immediate predecessor.
- 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.