Triple

T17577516
Position Surface form Disambiguated ID Type / Status
Subject Bombardier FLEXITY E428110 entity
Predicate hasVariant P455 FINISHED
Object Flexity 2 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: Flexity 2 | Statement: [Bombardier FLEXITY, hasVariant, Flexity 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flexity 2
Context triple: [Bombardier FLEXITY, hasVariant, Flexity 2]
  • A. Flexity Berlin
    Flexity Berlin is a low-floor tram model specifically developed by Bombardier for Berlin’s public transport network as part of its Flexity family of light rail vehicles.
  • B. Echo Flex
    Echo Flex is a compact, plug-in smart speaker from Amazon’s Echo line designed to provide Alexa voice assistant capabilities in small spaces like hallways, bathrooms, and kitchens.
  • C. Flexity Wien
    Flexity Wien is a low-floor tram model specifically developed for Vienna’s public transport network as part of Bombardier’s Flexity family of light rail vehicles.
  • D. Flexity product platform chosen
    The Flexity product platform is Bombardier’s family of modular light rail and tram vehicles designed for urban and suburban public transit systems worldwide.
  • E. Bombardier FLEXITY
    Bombardier FLEXITY is a family of modern low-floor trams and light rail vehicles widely used in urban public transit systems around the world.
  • 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.