Triple
T1543421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanna Get Away |
E32921
|
entity |
| Predicate | fareBrandFamily |
P1500
|
FINISHED |
| Object | Southwest Airlines branded fares |
—
|
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: Southwest Airlines branded fares | Statement: [Wanna Get Away, fareBrandFamily, Southwest Airlines branded fares]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareBrandFamily Context triple: [Wanna Get Away, fareBrandFamily, Southwest Airlines branded fares]
-
A.
parentBrand
Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
-
B.
formerBrand
Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
-
C.
usesTransportBrand
Indicates that one entity makes use of a transportation service, vehicle, or system associated with a specific brand.
-
D.
relatedBrand
Indicates a relationship where one brand is associated with, connected to, or otherwise related to another brand.
-
E.
brand
chosen
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa95c1a2948190a2b98469afec1a7d |
completed | March 6, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69a907b2453c8190a41f6b88c8217d1e |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.