Triple
T10752891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scoot |
E253614
|
entity |
| Predicate | offersAncillaryServices |
P9404
|
FINISHED |
| Object | paid seat selection |
—
|
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: paid seat selection | Statement: [Scoot, offersAncillaryServices, paid seat selection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersAncillaryServices Context triple: [Scoot, offersAncillaryServices, paid seat selection]
-
A.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
-
B.
offersFeature
chosen
Indicates that one entity provides or makes available a particular feature or capability to another entity.
-
C.
offeredService
Indicates that one entity has provided or made available a service to another entity.
-
D.
offersServiceType
Indicates that one entity provides or makes available a specific type or category of service to another entity or the public.
-
E.
hasPassengerServicesTo
Indicates that a transportation provider operates passenger services connecting one location or entity to another.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.