Triple

T797446
Position Surface form Disambiguated ID Type / Status
Subject Abdus Salam E17053 entity
Predicate employer P7 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: [Abdus Salam, employer, Imperial College London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imperial College London
Context triple: [Abdus Salam, employer, 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b342888190a344fe81a2c9f33c completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac598bddf88190afc565deec2357a1 completed March 7, 2026, 4:59 p.m.
Created at: March 1, 2026, 7:38 p.m.