Triple
T13089546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swoop |
E310423
|
entity |
| Predicate | fleetOwnership |
P72672
|
FINISHED |
| Object | operated under WestJet group fleet strategy |
—
|
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: operated under WestJet group fleet strategy | Statement: [Swoop, fleetOwnership, operated under WestJet group fleet strategy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleetOwnership Context triple: [Swoop, fleetOwnership, operated under WestJet group fleet strategy]
-
A.
fleetNumbers
Indicates that there is an association between an entity and one or more identifying numbers assigned to it as part of a fleet.
-
B.
usesFleetOf
chosen
Indicates that one entity operates or relies on a group of vehicles, vessels, or similar assets collectively as a fleet to perform its activities or services.
-
C.
fleetIncludes
Indicates that a particular fleet contains or is composed of the specified entity or entities as its members.
-
D.
fleetName
Indicates the name assigned to a particular fleet within a system or context.
-
E.
fleetType
Indicates the category or classification of a fleet to which an entity belongs or with which it is associated.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d98138a1d481908a139f2f67eb3472 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:03 p.m.