Triple

T4504021
Position Surface form Disambiguated ID Type / Status
Subject Sapsan E101288 entity
Predicate usesRollingStock P5426 FINISHED
Object Siemens Velaro RUS E354421 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: Siemens Velaro RUS | Statement: [Sapsan, usesRollingStock, Siemens Velaro RUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siemens Velaro RUS
Context triple: [Sapsan, usesRollingStock, Siemens Velaro RUS]
  • A. Siemens Velaro chosen
    Siemens Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major high-speed rail networks worldwide.
  • B. Siemens Desiro
    Siemens Desiro is a family of modern diesel and electric multiple-unit trains widely used for regional and commuter rail services across Europe and beyond.
  • C. Siemens ACS-64
    The Siemens ACS-64 is a high-speed, electric locomotive used by Amtrak for passenger rail service in the United States.
  • D. Siemens Vectron
    Siemens Vectron is a modular family of electric and diesel-electric locomotives designed for versatile passenger and freight operations across European rail networks.
  • E. Stadler KISS double-deck EMU
    The Stadler KISS double-deck EMU is a high-capacity, electric multiple-unit commuter train known for its bi-level design, rapid acceleration, and use on regional and suburban rail services in various countries.
  • 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_69bd6f958de0819082d17c165d25e703 completed March 20, 2026, 4:02 p.m.
Created at: March 20, 2026, 1:01 p.m.