Triple
T30663355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Canada Signature Class |
E780590
|
entity |
| Predicate | baggageAllowance |
P94375
|
FINISHED |
| Object | includes at least one or more checked bags depending on fare rules |
—
|
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: includes at least one or more checked bags depending on fare rules | Statement: [Air Canada Signature Class, baggageAllowance, includes at least one or more checked bags depending on fare rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baggageAllowance Context triple: [Air Canada Signature Class, baggageAllowance, includes at least one or more checked bags depending on fare rules]
-
A.
baggagePolicyType
Indicates the specific category or type of baggage policy that applies in a given travel or transportation context.
-
B.
allowsLuggage
Indicates that one entity permits another entity to bring or carry luggage in a given context.
-
C.
providesExtraBaggage
chosen
Indicates that one entity offers or supplies additional baggage capacity or allowance to another entity.
-
D.
hasLuggage
Indicates that an entity is carrying, possessing, or associated with one or more pieces of luggage.
-
E.
baggageAllowanceComparedToPremiumCabins
Indicates how a passenger’s baggage allowance compares in quantity or weight to that granted in premium cabin classes.
- 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_69f68ae29de08190be2cd4d95c0fa0a4 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:31 p.m.