Triple

T8644603
Position Surface form Disambiguated ID Type / Status
Subject Department of Veterinary Medicine, Free University of Berlin E204741 entity
Predicate affiliatedWith P254 FINISHED
Object Berlin-Brandenburg research networks
Berlin-Brandenburg research networks are collaborative scientific alliances in the Berlin-Brandenburg region that connect universities, research institutes, and other partners to advance interdisciplinary research and innovation.
E747884 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: Berlin-Brandenburg research networks | Statement: [Department of Veterinary Medicine, Free University of Berlin, affiliatedWith, Berlin-Brandenburg research networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin-Brandenburg research networks
Context triple: [Department of Veterinary Medicine, Free University of Berlin, affiliatedWith, Berlin-Brandenburg research networks]
  • A. German Research Foundation
    The German Research Foundation is Germany’s central self-governing research funding organization, supporting research projects and infrastructure across all disciplines at universities and research institutions.
  • B. Helmholtz Association
    The Helmholtz Association is Germany’s largest scientific research organization, operating a network of national research centers that conduct long-term, large-scale research in areas such as energy, health, environment, and technology.
  • C. Bavarian University Network
    The Bavarian University Network is a collaborative association of universities in Bavaria, Germany, that coordinates academic, research, and administrative initiatives across its member institutions.
  • D. Berlin-Brandenburg Academy of Sciences and Humanities
    The Berlin-Brandenburg Academy of Sciences and Humanities is a major German learned society and research institution based in Berlin, continuing the tradition of the historic Prussian Academy of Sciences.
  • E. German Council of Science and Humanities
    The German Council of Science and Humanities is a key advisory body in Germany that provides expert recommendations on the development of science, research, and higher education policy to the federal and state governments.
  • 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: Berlin-Brandenburg research networks
Triple: [Department of Veterinary Medicine, Free University of Berlin, affiliatedWith, Berlin-Brandenburg research networks]
Generated description
Berlin-Brandenburg research networks are collaborative scientific alliances in the Berlin-Brandenburg region that connect universities, research institutes, and other partners to advance interdisciplinary research and innovation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berlin-Brandenburg research networks
Target entity description: Berlin-Brandenburg research networks are collaborative scientific alliances in the Berlin-Brandenburg region that connect universities, research institutes, and other partners to advance interdisciplinary research and innovation.
  • A. German Research Foundation
    The German Research Foundation is Germany’s central self-governing research funding organization, supporting research projects and infrastructure across all disciplines at universities and research institutions.
  • B. Helmholtz Association
    The Helmholtz Association is Germany’s largest scientific research organization, operating a network of national research centers that conduct long-term, large-scale research in areas such as energy, health, environment, and technology.
  • C. Bavarian University Network
    The Bavarian University Network is a collaborative association of universities in Bavaria, Germany, that coordinates academic, research, and administrative initiatives across its member institutions.
  • D. Berlin-Brandenburg Academy of Sciences and Humanities
    The Berlin-Brandenburg Academy of Sciences and Humanities is a major German learned society and research institution based in Berlin, continuing the tradition of the historic Prussian Academy of Sciences.
  • E. German Council of Science and Humanities
    The German Council of Science and Humanities is a key advisory body in Germany that provides expert recommendations on the development of science, research, and higher education policy to the federal and state governments.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc479999c881908c0c4e01c07d02d4 completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc42922c819099a464d2e347dec4 completed April 2, 2026, 6:58 p.m.
NEDg Description generation batch_69cec03fa5dc8190bbfe40aa1a3b27c1 completed April 2, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69cec0cac51c8190962a23d53c1fb48b completed April 2, 2026, 7:17 p.m.
Created at: March 30, 2026, 6:28 p.m.