Triple
T4118312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgin Atlantic GlobalFlyer |
E90346
|
entity |
| Predicate | configurationFeature |
P2093
|
FINISHED |
| Object | very high aspect ratio wings |
—
|
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: very high aspect ratio wings | Statement: [Virgin Atlantic GlobalFlyer, configurationFeature, very high aspect ratio wings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: configurationFeature Context triple: [Virgin Atlantic GlobalFlyer, configurationFeature, very high aspect ratio wings]
-
A.
featuresSetting
Indicates that something includes, presents, or highlights a particular setting as a notable or primary aspect.
-
B.
configuration
chosen
Indicates that one entity specifies or defines the arrangement, setup, or parameter settings under which another entity operates or is structured.
-
C.
configurationOptionIn
Indicates that a specific configuration option belongs to, or is defined within, a particular configuration set, context, or system.
-
D.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
E.
featuresSupporter
Indicates that one entity serves as a supporter, advocate, or promoter of another entity or its cause.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.