Triple

T21817566
Position Surface form Disambiguated ID Type / Status
Subject Saarland Informatics Campus E538641 entity
Predicate hosts P186 FINISHED
Object Saarland University Department of Computer Science
Saarland University Department of Computer Science is a leading European computer science department in Saarbrücken, Germany, renowned for its research in areas such as algorithms, artificial intelligence, and software systems.
E538641 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: Saarland University Department of Computer Science | Statement: [Saarland Informatics Campus, hosts, Saarland University Department of Computer Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saarland University Department of Computer Science
Context triple: [Saarland Informatics Campus, hosts, Saarland University Department of Computer Science]
  • A. Saarland Informatics Campus
    Saarland Informatics Campus is a major research and education hub in computer science located in Saarbrücken, Germany, bringing together universities and leading research institutes such as several Max Planck Institutes.
  • B. Department of Computer Science, University of Freiburg
    The Department of Computer Science at the University of Freiburg is a leading academic unit known for research and teaching in areas such as artificial intelligence, machine learning, algorithms, and software systems.
  • C. Computer Science Department, Heidelberg University
    The Computer Science Department at Heidelberg University is an academic unit specializing in research and education in computer science within the university’s Faculty of Mathematics and Computer Science.
  • D. Institute of Computer Science (University of Bonn)
    The Institute of Computer Science at the University of Bonn is an academic department specializing in research and education in computer science within the university’s science and technology faculties.
  • E. Department of Computer Science, University of Tübingen
    The Department of Computer Science at the University of Tübingen is an academic unit specializing in research and education in computer science within the university’s Faculty of Science.
  • 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: Saarland University Department of Computer Science
Triple: [Saarland Informatics Campus, hosts, Saarland University Department of Computer Science]
Generated description
Saarland University Department of Computer Science is a leading European computer science department in Saarbrücken, Germany, renowned for its research in areas such as algorithms, artificial intelligence, and software systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saarland University Department of Computer Science
Target entity description: Saarland University Department of Computer Science is a leading European computer science department in Saarbrücken, Germany, renowned for its research in areas such as algorithms, artificial intelligence, and software systems.
  • A. Saarland Informatics Campus chosen
    Saarland Informatics Campus is a major research and education hub in computer science located in Saarbrücken, Germany, bringing together universities and leading research institutes such as several Max Planck Institutes.
  • B. Department of Computer Science, University of Freiburg
    The Department of Computer Science at the University of Freiburg is a leading academic unit known for research and teaching in areas such as artificial intelligence, machine learning, algorithms, and software systems.
  • C. Computer Science Department, Heidelberg University
    The Computer Science Department at Heidelberg University is an academic unit specializing in research and education in computer science within the university’s Faculty of Mathematics and Computer Science.
  • D. Institute of Computer Science (University of Bonn)
    The Institute of Computer Science at the University of Bonn is an academic department specializing in research and education in computer science within the university’s science and technology faculties.
  • E. Department of Computer Science, University of Tübingen
    The Department of Computer Science at the University of Tübingen is an academic unit specializing in research and education in computer science within the university’s Faculty of Science.
  • F. None of above.

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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07ccbf3308190a5b3993737b939c4 completed April 28, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45df38a881908f7864c53c1bbb0b completed May 17, 2026, 10:49 p.m.
NEDg Description generation batch_6a0a46a16de88190a930f98921d41239 completed May 17, 2026, 10:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0a471f6d3481908108ceea4ff1c47b completed May 17, 2026, 10:54 p.m.
Created at: April 16, 2026, 6:54 p.m.