Triple
T17894777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VR Group |
E447404
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object |
VR Transpoint
VR Transpoint is the freight and logistics division of Finland’s state-owned railway company, specializing in rail cargo and related transport services.
|
E1295006
|
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: VR Transpoint | Statement: [VR Group, subsidiary, VR Transpoint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VR Transpoint Context triple: [VR Group, subsidiary, VR Transpoint]
-
A.
VR
VR is a vehicle registration code used on license plates to identify vehicles registered in Bergen auf Rügen, Germany.
-
B.
VR
VR is the abbreviation used for the Volunteer Reserves, the part-time volunteer component of the British Armed Forces.
-
C.
VRT
VRT is Belgium’s public-service broadcaster for the Flemish Community, providing television, radio, and online media.
-
D.
Dragontrail VR
Dragontrail VR is a specialized variant of Asahi Glass’s Dragontrail glass engineered to provide high-strength, optically clear protective glass tailored for virtual reality and other immersive display applications.
-
E.
YouTube VR
YouTube VR is a virtual reality version of YouTube that lets users watch 2D, 3D, and 360° videos in an immersive VR environment.
- 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: VR Transpoint Triple: [VR Group, subsidiary, VR Transpoint]
Generated description
VR Transpoint is the freight and logistics division of Finland’s state-owned railway company, specializing in rail cargo and related transport services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VR Transpoint Target entity description: VR Transpoint is the freight and logistics division of Finland’s state-owned railway company, specializing in rail cargo and related transport services.
-
A.
VR
VR is a vehicle registration code used on license plates to identify vehicles registered in Bergen auf Rügen, Germany.
-
B.
VR
VR is the abbreviation used for the Volunteer Reserves, the part-time volunteer component of the British Armed Forces.
-
C.
VRT
VRT is Belgium’s public-service broadcaster for the Flemish Community, providing television, radio, and online media.
-
D.
Dragontrail VR
Dragontrail VR is a specialized variant of Asahi Glass’s Dragontrail glass engineered to provide high-strength, optically clear protective glass tailored for virtual reality and other immersive display applications.
-
E.
YouTube VR
YouTube VR is a virtual reality version of YouTube that lets users watch 2D, 3D, and 360° videos in an immersive VR environment.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7ccf808190b4c1fd477043bcc8 |
completed | April 19, 2026, 9:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b24c55881908769b6461c0e05d1 |
completed | May 12, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a031cd8fd38819091b126f550e749ad |
completed | May 12, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031d693e148190a84d4f1a17562b5b |
completed | May 12, 2026, 12:30 p.m. |
Created at: April 10, 2026, 10:19 a.m.