Triple

T34771380
Position Surface form Disambiguated ID Type / Status
Subject CLJ E1002369 entity
Predicate editorialBoardAffiliation P54572 FINISHED
Object Faculty of Law, University of Cambridge 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: Faculty of Law, University of Cambridge | Statement: [CLJ, editorialBoardAffiliation, Faculty of Law, University of Cambridge]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: editorialBoardAffiliation
Context triple: [CLJ, editorialBoardAffiliation, Faculty of Law, University of Cambridge]
  • A. editorialBoardMemberOf
    Indicates that a person serves as a member of the editorial board of a particular publication or organization.
  • B. editorAffiliation chosen
    Indicates that an editor is affiliated with, or belongs to, a particular organization or institution.
  • C. subjectAffiliation
    Indicates that a subject is formally associated or connected with a particular organization, group, or institution.
  • D. hasEditorialBoard
    Indicates that an entity (such as a publication or journal) is overseen or governed by a specific editorial board.
  • E. composerAffiliation
    Indicates that a composer is formally associated with, employed by, or otherwise connected to a particular organization, institution, or group.
  • F. None of above.

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_69f76db20dac8190b1e8d0ca4dc1d59f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f7817daf00819098936402e75ab0a6 completed May 3, 2026, 5:10 p.m.
PD Predicate disambiguation batch_69f780fc5ed88190b7200ee5a29940af completed May 3, 2026, 5:08 p.m.
Created at: May 3, 2026, 3:59 p.m.