Triple

T9749696
Position Surface form Disambiguated ID Type / Status
Subject Rhine-Ruhr S-Bahn E236408 entity
Predicate fareSystemAbbreviation P395 FINISHED
Object VRR
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.
E819061 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: VRR | Statement: [Rhine-Ruhr S-Bahn, fareSystemAbbreviation, VRR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VRR
Context triple: [Rhine-Ruhr S-Bahn, fareSystemAbbreviation, 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. VV
    VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
  • C. VRS
    VRS is the acronym for the Army of Republika Srpska, the Bosnian Serb military force active during the Bosnian War in the 1990s.
  • D. VRD
    VRD is the ICAO airline designator used to identify Virgin America in aviation operations and communications.
  • E. VVI
    VVI is the IATA airport code for Viru Viru International Airport, the main international gateway serving Santa Cruz de la Sierra, Bolivia.
  • 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: VRR
Triple: [Rhine-Ruhr S-Bahn, fareSystemAbbreviation, VRR]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VRR
Target entity description: 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.
  • 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. VV
    VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
  • C. VRS
    VRS is the acronym for the Army of Republika Srpska, the Bosnian Serb military force active during the Bosnian War in the 1990s.
  • D. VRD
    VRD is the ICAO airline designator used to identify Virgin America in aviation operations and communications.
  • E. VVI
    VVI is the IATA airport code for Viru Viru International Airport, the main international gateway serving Santa Cruz de la Sierra, Bolivia.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f6a2f8c8190a6f6af6587ee90b8 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b01678f88190900a941b9d111c58 completed April 5, 2026, 12:43 a.m.
NEDg Description generation batch_69d1b13a7b0c8190a526bffdc4caf73d completed April 5, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69d1b1cdc91481908e98c4d5cdec785b completed April 5, 2026, 12:50 a.m.
Created at: March 30, 2026, 8:24 p.m.