Triple

T17895131
Position Surface form Disambiguated ID Type / Status
Subject Sm6 Pendolino E447413 entity
Predicate operator P179 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: [Sm6 Pendolino, operator, VR Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VR Group
Context triple: [Sm6 Pendolino, operator, 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7eb4f48190951e26975b57873b completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:19 a.m.