Triple

T7168554
Position Surface form Disambiguated ID Type / Status
Subject Campus Virchow-Klinikum E167133 entity
Predicate alsoKnownAs P39 FINISHED
Object CVK
CVK is a major campus of Charité – Universitätsmedizin Berlin, housing extensive clinical and research facilities in the Wedding district of Berlin.
 E647119 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: CVK | Statement: [Campus Virchow-Klinikum, alsoKnownAs, CVK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CVK
Context triple: [Campus Virchow-Klinikum, alsoKnownAs, CVK]
  • A. VCK
    VCK is a Tamil Nadu–based political party in India known for its advocacy of Dalit rights and social justice.
  • B. CvA
    CvA is the abbreviation for the Conservatorium van Amsterdam, a major music conservatory in the Netherlands known for its comprehensive music education and performance programs.
  • C. CVM
    CVM is the U.S. Food and Drug Administration’s Center for Veterinary Medicine, which regulates the safety and effectiveness of animal drugs and medicated feeds.
  • D. KCVS
    KCVS is the ICAO airport code for Cannon Air Force Base, a United States Air Force installation near Clovis, New Mexico.
  • E. VVCI
    VVCI is the ICAO airport code for Cat Bi International Airport in Hai Phong, Vietnam.
  • 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: CVK
Triple: [Campus Virchow-Klinikum, alsoKnownAs, CVK]
Generated description
CVK is a major campus of Charité – Universitätsmedizin Berlin, housing extensive clinical and research facilities in the Wedding district of Berlin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CVK
Target entity description: CVK is a major campus of Charité – Universitätsmedizin Berlin, housing extensive clinical and research facilities in the Wedding district of Berlin.
  • A. VCK
    VCK is a Tamil Nadu–based political party in India known for its advocacy of Dalit rights and social justice.
  • B. CvA
    CvA is the abbreviation for the Conservatorium van Amsterdam, a major music conservatory in the Netherlands known for its comprehensive music education and performance programs.
  • C. CVM
    CVM is the U.S. Food and Drug Administration’s Center for Veterinary Medicine, which regulates the safety and effectiveness of animal drugs and medicated feeds.
  • D. KCVS
    KCVS is the ICAO airport code for Cannon Air Force Base, a United States Air Force installation near Clovis, New Mexico.
  • E. VVCI
    VVCI is the ICAO airport code for Cat Bi International Airport in Hai Phong, Vietnam.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85c606081909f76d76fc5b90bc8 completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b9094a8c81909e9d5b91ec714831 completed March 28, 2026, 11:18 a.m.
NEDg Description generation batch_69c7b9e55f84819099af471a65bb68aa completed March 28, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba9317548190946e21c2731d58a7 completed March 28, 2026, 11:25 a.m.
Created at: March 27, 2026, 2:48 p.m.