Triple

T17678393
Position Surface form Disambiguated ID Type / Status
Subject Höhenstraße E440697 entity
Predicate fareSystem P395 FINISHED
Object RMV 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: RMV | Statement: [Höhenstraße, fareSystem, RMV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RMV
Context triple: [Höhenstraße, fareSystem, RMV]
  • A. RMV chosen
    RMV is the public transport association responsible for coordinating and managing regional and local transit services in Germany’s Rhine-Main metropolitan area, including cities like Frankfurt am Main.
  • B. RM
    RM is a UK postcode area in east London and parts of Essex, covering districts such as Romford and surrounding suburbs.
  • C. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • D. RM
    RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
  • E. RMF
    RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6f8054819087b2fe9bc8ad8d2f completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10:01 a.m.