Triple

T13129827
Position Surface form Disambiguated ID Type / Status
Subject Wuppertal-Ronsdorf station E311938 entity
Predicate hasStationCode P1289 FINISHED
Object KVRF
KVRF is the station code assigned to Wuppertal-Ronsdorf railway station in Germany’s rail network.
 E1021992 NE FINISHED

How this triple was built (4 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: KVRF | Statement: [Wuppertal-Ronsdorf station, hasStationCode, KVRF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KVRF
Context triple: [Wuppertal-Ronsdorf station, hasStationCode, KVRF]
  • A. RVR
    RVR is the standard abbreviation for the Reina-Valera, a widely used Spanish translation of the Bible.
  • B. RVR
    RVR is the commonly used abbreviation for the Regionalverband Ruhr, a regional association responsible for planning and coordination in Germany’s Ruhr metropolitan area.
  • C. RKV
    RKV is the IATA airport code for Reykjavík Airport, the main domestic and regional airport serving Iceland’s capital city.
  • D. VPK
    VPK was the Soviet Union’s powerful Military-Industrial Commission responsible for overseeing and coordinating the country’s defense industry and weapons production.
  • E. SVRL
    SVRL (Schematron Validation Report Language) is an XML-based reporting format used to express the results of Schematron rule validations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KVRF
Triple: [Wuppertal-Ronsdorf station, hasStationCode, KVRF]
Generated description
KVRF is the station code assigned to Wuppertal-Ronsdorf railway station in Germany’s rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KVRF
Target entity description: KVRF is the station code assigned to Wuppertal-Ronsdorf railway station in Germany’s rail network.
  • A. RVR
    RVR is the commonly used abbreviation for the Regionalverband Ruhr, a regional association responsible for planning and coordination in Germany’s Ruhr metropolitan area.
  • B. RVR
    RVR is the standard abbreviation for the Reina-Valera, a widely used Spanish translation of the Bible.
  • C. RKV
    RKV is the IATA airport code for Reykjavík Airport, the main domestic and regional airport serving Iceland’s capital city.
  • D. VPK
    VPK was the Soviet Union’s powerful Military-Industrial Commission responsible for overseeing and coordinating the country’s defense industry and weapons production.
  • E. SVRL
    SVRL (Schematron Validation Report Language) is an XML-based reporting format used to express the results of Schematron rule validations.
  • F. None of above. chosen

Provenance (5 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819bfd348190a22d44f837877e1c completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e290c308819090ee4436c199b57c completed May 3, 2026, 5:52 a.m.
NEDg Description generation batch_69f6e397df5c8190a470fc5c226b027b completed May 3, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6e454f95c8190b023c5d141999dd8 completed May 3, 2026, 5:59 a.m.
Created at: April 9, 2026, 9:07 p.m.