Triple
T4504142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegro |
E101290
|
entity |
| Predicate | ticketSalesChannel |
P3383
|
FINISHED |
| Object | VR Group |
E447404
|
NE 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: VR Group | Statement: [Allegro, ticketSalesChannel, VR Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VR Group Context triple: [Allegro, ticketSalesChannel, VR Group]
-
A.
VR Group
chosen
VR Group is Finland’s state-owned railway company that operates domestic and international passenger and freight train services.
-
B.
VT Group
VT Group is a British engineering and shipbuilding company known for designing and constructing advanced naval vessels and providing marine and defense support services.
-
C.
Incursori Group
The Incursori Group is an elite Italian Navy special operations unit specializing in maritime commando, sabotage, and reconnaissance missions.
-
D.
VMU
The VMU (Visual Memory Unit) is a memory card and secondary screen accessory for the Sega Dreamcast that provides game save storage and mini-game functionality.
-
E.
VRN
VRN is the public transport association serving Germany’s Rhine-Neckar metropolitan region, coordinating regional and local transit services across multiple states.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fca7d4819081deb34628e04f00 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda41dd58081908b8d8779a71f3c97 |
completed | March 20, 2026, 7:46 p.m. |
Created at: March 20, 2026, 1:01 p.m.