Triple
T1305617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RYA |
E27868
|
entity |
| Predicate | hasUnderlyingServiceType |
P849
|
FINISHED |
| Object | no-frills service |
—
|
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: no-frills service | Statement: [RYA, hasUnderlyingServiceType, no-frills service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingServiceType Context triple: [RYA, hasUnderlyingServiceType, no-frills service]
-
A.
hasServiceType
chosen
Indicates that an entity is associated with or categorized by a particular type of service.
-
B.
hasServiceClass
Indicates that an entity is associated with, or categorized under, a particular class or type of service.
-
C.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
-
D.
hasThroughServiceWith
Indicates that two transportation services are operationally linked so that a passenger or shipment can continue from one to the other without a separate booking or major interruption.
-
E.
hasServiceProvider
Indicates that an entity is associated with or supported by a specific service provider.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c13524d481909e8f5bb2ab91f6e4 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee8544c8190874efd9bae9bccf9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.