Triple

T18864956
Position Surface form Disambiguated ID Type / Status
Subject Verkehrsverbund Rhein-Ruhr E461414 entity
Predicate shortName P43 FINISHED
Object VRR 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: VRR | Statement: [Verkehrsverbund Rhein-Ruhr, shortName, VRR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VRR
Context triple: [Verkehrsverbund Rhein-Ruhr, shortName, VRR]
  • A. VRR
    VRR is a geologically distinct, hematite-rich ridge on Mars explored by NASA’s Curiosity rover as a key site for studying the planet’s past environmental conditions.
  • B. VRR chosen
    VRR is the public transport association that coordinates and manages the integrated ticketing and fare system for much of the Rhine-Ruhr metropolitan region in Germany.
  • C. VV
    VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
  • D. VRS
    VRS is the acronym for the Army of Republika Srpska, the Bosnian Serb military force active during the Bosnian War in the 1990s.
  • E. VRS
    VRS (Verkehrsverbund Rhein-Sieg) is a public transport association in the Rhine-Sieg region of Germany that coordinates and manages integrated ticketing and fares across multiple transit operators.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a3e9a48190a4d44728635ac368 completed April 20, 2026, 6:07 a.m.
Created at: April 10, 2026, 11:57 a.m.