Triple

T480853
Position Surface form Disambiguated ID Type / Status
Subject Coursera E9162 entity
Predicate hasPartner P1136 FINISHED
Object Imperial College London E32013 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: Imperial College London | Statement: [Coursera, hasPartner, Imperial College London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imperial College London
Context triple: [Coursera, hasPartner, Imperial College London]
  • A. Imperial College London chosen
    Imperial College London is a leading public research university in London renowned for its strengths in science, engineering, medicine, and business.
  • B. University College London
    University College London is a major public research university in London renowned for its multidisciplinary teaching, pioneering research, and global academic influence.
  • C. King’s College London
    King’s College London is a major public research university in London, England, renowned for its contributions to fields such as medicine, law, and the humanities.
  • D. University of Surrey
    The University of Surrey is a public research university in Guildford, England, known for its strong engineering, business, and health sciences programs and its emphasis on employability and industry partnerships.
  • E. University of Southampton
    The University of Southampton is a leading UK research-intensive university renowned for its strengths in engineering, oceanography, computer science, and interdisciplinary innovation.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f058ebe48190aaa0a829b21f75fa completed Feb. 28, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69a55a7165988190bc4312ca40770e27 completed March 2, 2026, 9:37 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.