Triple

T15488157
Position Surface form Disambiguated ID Type / Status
Subject Parks Road E377104 entity
Predicate near P350 FINISHED
Object Department of Computer Science, University of Oxford E824084 NE FINISHED

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: Department of Computer Science, University of Oxford | Statement: [Parks Road, near, Department of Computer Science, University of Oxford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Computer Science, University of Oxford
Context triple: [Parks Road, near, Department of Computer Science, University of Oxford]
  • A. Department of Computer Science, University of Oxford chosen
    The Department of Computer Science at the University of Oxford is a leading academic department renowned for its research and teaching in theoretical and applied computer science.
  • B. Department of Computer Science and Technology, University of Cambridge
    The Department of Computer Science and Technology at the University of Cambridge is a leading academic and research centre in computer science, renowned for its pioneering contributions to computing theory, systems, and applications.
  • C. Department of Computing, Imperial College London
    The Department of Computing at Imperial College London is a leading UK computer science department renowned for its research excellence and highly ranked undergraduate and postgraduate programmes in computing and artificial intelligence.
  • D. Department of Computer Science, University of Sheffield
    The Department of Computer Science at the University of Sheffield is a leading UK academic department known for its research and teaching in areas such as artificial intelligence, machine learning, software engineering, and computational biology.
  • E. Department of Engineering Science, University of Oxford
    The Department of Engineering Science at the University of Oxford is a leading academic department that offers interdisciplinary engineering education and conducts world-class research across a broad range of engineering fields.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faaca588190b0397bc2e27a522a completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365d45488190b48458092b6ffead completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:48 a.m.