Triple

T17533471
Position Surface form Disambiguated ID Type / Status
Subject Red Line (Calgary CTrain) E426995 entity
Predicate usesRollingStock P5426 FINISHED
Object Siemens U2 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: Siemens U2 | Statement: [Red Line (Calgary CTrain), usesRollingStock, Siemens U2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siemens U2
Context triple: [Red Line (Calgary CTrain), usesRollingStock, Siemens U2]
  • A. Siemens U2 chosen
    Siemens U2 is a type of light rail vehicle widely used in North American transit systems, including the San Diego Trolley, known for its articulated design and high-floor configuration.
  • B. Siemens Avanto
    Siemens Avanto is a family of light rail and tram-train vehicles developed by Siemens for urban and regional public transport systems.
  • C. Siemens Nexas
    Siemens Nexas is a class of electric multiple unit trains used for suburban passenger services on Melbourne’s metropolitan rail network.
  • D. Siemens Avenio
    Siemens Avenio is a modern low-floor light rail vehicle platform developed by Siemens for urban tram and light rail systems worldwide.
  • E. Siemens SD100
    The Siemens SD100 is a light rail vehicle model built by Siemens for use on urban trolley and light rail systems such as the San Diego Trolley.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4536a0f588190ade91d32308897a0 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.