Triple

T21817735
Position Surface form Disambiguated ID Type / Status
Subject Department 4: Computer Graphics E538645 entity
Predicate affiliatedWith P254 FINISHED
Object Saarland University NE NERFINISHED

How this triple was built (2 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 | Statement: [Department 4: Computer Graphics, affiliatedWith, Saarland University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saarland University
Context triple: [Department 4: Computer Graphics, affiliatedWith, Saarland University]
  • A. Universität des Saarlandes chosen
    Die Universität des Saarlandes ist eine forschungsstarke deutsche Universität in Saarbrücken, die besonders für ihre Informatik, Computerlinguistik und europarechtlichen Studiengänge bekannt ist.
  • B. University of Trier
    The University of Trier is a public research university in Trier, Germany, known for its strengths in humanities, social sciences, and environmental studies.
  • C. University of Mannheim
    The University of Mannheim is a German public research university renowned for its strong programs in business, economics, and social sciences.
  • D. University of Siegen
    The University of Siegen is a public research university in Siegen, Germany, known for its programs in engineering, natural sciences, humanities, and social sciences.
  • E. University of Cologne
    The University of Cologne is one of Germany’s largest and oldest universities, renowned for its research and teaching across a broad range of disciplines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 16, 2026, 6:54 p.m.