Triple
T20708014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vy |
E508954
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Vy Travel
Vy Travel is a Norwegian travel company within the Vy Group that operates and sells bus and other transport services.
|
E1445474
|
NE FINISHED |
How this triple was built (4 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: Vy Travel | Statement: [Vy, hasSubsidiary, Vy Travel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vy Travel Context triple: [Vy, hasSubsidiary, Vy Travel]
-
A.
Avalon Travel
Avalon Travel is a publishing imprint best known for producing travel guides and related travel literature.
-
B.
United Travel Getaway
United Travel Getaway was a New Zealand television travel show known for showcasing holiday destinations and experiences to local audiences.
-
C.
Coral Travel
Coral Travel is a major international tour operator offering package holidays and travel services across popular leisure destinations.
-
D.
Compass Travel
Compass Travel is a regional bus operator in southern England providing local and interurban public transport services.
-
E.
Morris Travel
Morris Travel was a travel agency business that owned and operated Morris Air before the airline was acquired by Southwest Airlines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vy Travel Triple: [Vy, hasSubsidiary, Vy Travel]
Generated description
Vy Travel is a Norwegian travel company within the Vy Group that operates and sells bus and other transport services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vy Travel Target entity description: Vy Travel is a Norwegian travel company within the Vy Group that operates and sells bus and other transport services.
-
A.
Avalon Travel
Avalon Travel is a publishing imprint best known for producing travel guides and related travel literature.
-
B.
United Travel Getaway
United Travel Getaway was a New Zealand television travel show known for showcasing holiday destinations and experiences to local audiences.
-
C.
Coral Travel
Coral Travel is a major international tour operator offering package holidays and travel services across popular leisure destinations.
-
D.
Compass Travel
Compass Travel is a regional bus operator in southern England providing local and interurban public transport services.
-
E.
Morris Travel
Morris Travel was a travel agency business that owned and operated Morris Air before the airline was acquired by Southwest Airlines.
- F. None of above. chosen
Provenance (5 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1952e888190877b79933970f7b0 |
completed | April 21, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7f4d5f08190a733c7247f51f492 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d8f47be881909859bbe23887d0fc |
completed | May 16, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d99214b48190b0ffba4026d3fa39 |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 16, 2026, 12:14 p.m.