Triple

T14849482
Position Surface form Disambiguated ID Type / Status
Subject Regensburger Verbundklassifikation E349189 entity
Predicate shortName P43 FINISHED
Object RVK
RVK is a German academic library classification system widely used for organizing scholarly literature, especially in university and research libraries.
 E1123795 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: RVK | Statement: [Regensburger Verbundklassifikation, shortName, RVK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RVK
Context triple: [Regensburger Verbundklassifikation, shortName, RVK]
  • A. RvK
    RvK is the Dutch Council for the Kingdom, a constitutional advisory body that deals with matters concerning the Kingdom of the Netherlands and its constituent countries.
  • B. RVRC
    RVRC is a residential college at the National University of Singapore that focuses on experiential learning and community living.
  • C. RVL
    RVL is the commonly used abbreviation for the Raritan Valley Line, a commuter rail service in New Jersey operated by NJ Transit.
  • D. RKV
    RKV is the IATA airport code for Reykjavík Airport, the main domestic and regional airport serving Iceland’s capital city.
  • E. Rakytov
    Rakytov is a prominent mountain peak in Slovakia’s Veľká Fatra range, known for its panoramic views and popular hiking trails.
  • 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: RVK
Triple: [Regensburger Verbundklassifikation, shortName, RVK]
Generated description
RVK is a German academic library classification system widely used for organizing scholarly literature, especially in university and research libraries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RVK
Target entity description: RVK is a German academic library classification system widely used for organizing scholarly literature, especially in university and research libraries.
  • A. RvK
    RvK is the Dutch Council for the Kingdom, a constitutional advisory body that deals with matters concerning the Kingdom of the Netherlands and its constituent countries.
  • B. RVRC
    RVRC is a residential college at the National University of Singapore that focuses on experiential learning and community living.
  • C. RVL
    RVL is the commonly used abbreviation for the Raritan Valley Line, a commuter rail service in New Jersey operated by NJ Transit.
  • D. RKV
    RKV is the IATA airport code for Reykjavík Airport, the main domestic and regional airport serving Iceland’s capital city.
  • E. Rakytov
    Rakytov is a prominent mountain peak in Slovakia’s Veľká Fatra range, known for its panoramic views and popular hiking trails.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded43eee188190bf24dc475b3abe28 completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6504ac6081908074231cf628fd39 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe65f41df08190ae7eee3b0235faf6 completed May 8, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_69fe66f7b5a48190b5d31ac38e7300f9 completed May 8, 2026, 10:43 p.m.
Created at: April 10, 2026, 1:53 a.m.