Triple

T21200514
Position Surface form Disambiguated ID Type / Status
Subject Finnish State Railways E522441 entity
Predicate successor P78 FINISHED
Object VR Group NE NERFINISHED

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: [Finnish State Railways, successor, VR Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VR Group
Context triple: [Finnish State Railways, successor, 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. VRG
    VRG is the ICAO airline designator for Varig, the former Brazilian flag carrier and one of Latin America's historically significant airlines.
  • D. Theta Group
    Theta Group was a clandestine Norwegian World War II resistance cell known for its intelligence-gathering and support of Allied operations against the German occupation.
  • E. VR&E
    VR&E is a U.S. Department of Veterans Affairs program that helps eligible veterans and service members with service-connected disabilities prepare for, find, and maintain suitable employment or achieve independent living.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73430c5a08190aeb6a62eec0f43a3 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:18 p.m.