Triple

T17577566
Position Surface form Disambiguated ID Type / Status
Subject Bombardier TRAXX E428111 entity
Predicate hasSubclass P1244 FINISHED
Object TRAXX DE 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: TRAXX DE | Statement: [Bombardier TRAXX, hasSubclass, TRAXX DE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRAXX DE
Context triple: [Bombardier TRAXX, hasSubclass, TRAXX DE]
  • A. Bombardier TRAXX chosen
    Bombardier TRAXX is a family of modular electric and diesel-electric locomotives widely used for passenger and freight services across Europe.
  • B. Siemens-Duewag U2
    The Siemens-Duewag U2 is a high-floor light rail vehicle widely used in North American transit systems, notably in early expansions of Calgary’s CTrain network.
  • C. 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.
  • D. 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.
  • E. SETRA
    SETRA is a French public engineering agency specializing in the design, expertise, and technical support of major transport infrastructure, particularly bridges and roads.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463ca76848190a7beb6deb4b0f1a4 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.