Triple

T765740
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Bentham E16170 entity
Predicate autoIconLocation P18966 FINISHED
Object University College London E33866 NE FINISHED

How this triple was built (3 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: University College London | Statement: [Jeremy Bentham, autoIconLocation, University College London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University College London
Context triple: [Jeremy Bentham, autoIconLocation, University College London]
  • A. University College London chosen
    University College London is a major public research university in London renowned for its multidisciplinary teaching, pioneering research, and global academic influence.
  • B. 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.
  • C. Imperial College London
    Imperial College London is a leading public research university in London renowned for its strengths in science, engineering, medicine, and business.
  • D. University of Queen Mary London
    The University of Queen Mary London is a major public research university in London renowned for its strong academic programs and membership in the prestigious Russell Group of leading UK universities.
  • E. University of London
    The University of London is a major federal public research university in the United Kingdom, comprising multiple autonomous colleges and renowned for its global academic influence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: autoIconLocation
Context triple: [Jeremy Bentham, autoIconLocation, University College London]
  • A. mainLocation
    Indicates that one entity serves as the primary or central location associated with another entity.
  • B. applicationLocation
    Indicates the place or environment where an application is deployed, used, or made available.
  • C. launchLocation
    Indicates the place or site from which something is launched or set into motion.
  • D. uiLocation
    Indicates the on-screen position or placement of a user interface element within a UI layout or display.
  • E. repositoryLocation
    Indicates the place or storage context where a repository is hosted, stored, or maintained.
  • F. None of above. chosen

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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69fb6ac8190bda41852ea01842c completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac53753d308190928675f60e27d702 completed March 7, 2026, 4:33 p.m.
PD Predicate disambiguation batch_69a4a506106081909ef97a679ff00a5a completed March 1, 2026, 8:43 p.m.
PDg Predicate description generation batch_69a4a5a35c68819082429755c046e9a7 completed March 1, 2026, 8:46 p.m.
Created at: March 1, 2026, 7:37 p.m.