Triple
T20708015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vy |
E508954
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Vy Mobility
Vy Mobility is a Norwegian transport company within the Vy Group that operates bus and other mobility services across Norway and parts of Scandinavia.
|
E1445475
|
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 Mobility | Statement: [Vy, hasSubsidiary, Vy Mobility]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vy Mobility Context triple: [Vy, hasSubsidiary, Vy Mobility]
-
A.
U-Go Mobility
U-Go Mobility is a public transport operator that runs bus services in and around Hurstville, a suburb in southern Sydney, Australia.
-
B.
Byton
Byton is a defunct Chinese electric vehicle startup that aimed to produce high-tech, connected smart cars for global markets.
-
C.
Ofo
Ofo were a Native American people historically located in the Southeastern Woodlands, known for their Siouan language and eventual migration into present-day Mississippi and Louisiana.
-
D.
Evvy
Evvy is a given name typically used as a short or affectionate form of longer names such as Evan or Evelyn.
-
E.
Emova Movilidad
Emova Movilidad is a private company responsible for operating and managing the Buenos Aires Underground public transit system in Argentina.
- 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 Mobility Triple: [Vy, hasSubsidiary, Vy Mobility]
Generated description
Vy Mobility is a Norwegian transport company within the Vy Group that operates bus and other mobility services across Norway and parts of Scandinavia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vy Mobility Target entity description: Vy Mobility is a Norwegian transport company within the Vy Group that operates bus and other mobility services across Norway and parts of Scandinavia.
-
A.
U-Go Mobility
U-Go Mobility is a public transport operator that runs bus services in and around Hurstville, a suburb in southern Sydney, Australia.
-
B.
Byton
Byton is a defunct Chinese electric vehicle startup that aimed to produce high-tech, connected smart cars for global markets.
-
C.
Ofo
Ofo were a Native American people historically located in the Southeastern Woodlands, known for their Siouan language and eventual migration into present-day Mississippi and Louisiana.
-
D.
Evvy
Evvy is a given name typically used as a short or affectionate form of longer names such as Evan or Evelyn.
-
E.
Emova Movilidad
Emova Movilidad is a private company responsible for operating and managing the Buenos Aires Underground public transit system in Argentina.
- 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.