Triple
T30663346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Canada Signature Class |
E780590
|
entity |
| Predicate | entertainmentFeature |
P19394
|
FINISHED |
| Object | personal seatback entertainment screen |
—
|
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: personal seatback entertainment screen | Statement: [Air Canada Signature Class, entertainmentFeature, personal seatback entertainment screen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entertainmentFeature Context triple: [Air Canada Signature Class, entertainmentFeature, personal seatback entertainment screen]
-
A.
entertainmentFocus
Indicates that one entity is primarily concerned with, directed toward, or centered on providing or engaging in entertainment for another entity or context.
-
B.
entertainmentType
Indicates the kind or category of entertainment associated with an entity or event.
-
C.
specialFeature
chosen
Indicates that an entity possesses a distinctive or noteworthy attribute, capability, or characteristic that sets it apart from others.
-
D.
festivalFeature
Indicates that a festival includes or showcases a particular element, activity, or attraction as one of its features.
-
E.
filmContent
Indicates that one entity is the substantive material or subject matter contained within a film.
- 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 29, 2026, 8:31 p.m.