Triple

T14265041
Position Surface form Disambiguated ID Type / Status
Subject Siemens Combino E353622 entity
Predicate hasVariant P455 FINISHED
Object Combino Supra E1016452 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: Combino Supra | Statement: [Siemens Combino, hasVariant, Combino Supra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Combino Supra
Context triple: [Siemens Combino, hasVariant, Combino Supra]
  • A. Combino Supra chosen
    Combino Supra is a high-capacity, low-floor tram variant developed by Siemens for use in modern urban light rail systems.
  • B. Combino Plus
    Combino Plus is an upgraded generation of Siemens’ low-floor Combino tram, designed with improved structural reliability and passenger comfort for modern urban light rail systems.
  • C. Supa
    Supa is a component or segment of the work "Necessary Evil," likely representing a distinct part, chapter, or track within that larger creative project.
  • D. Norikura Skyline
    Norikura Skyline is a scenic high-altitude mountain road in Japan renowned for its panoramic views of the Northern Japan Alps and seasonal alpine landscapes.
  • E. Brupass
    Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326367348190b4b31b32f4ca5639 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.