Triple

T5399006
Position Surface form Disambiguated ID Type / Status
Subject Chancellor of the University of Sussex E120728 entity
Predicate roleComparedTo P41879 FINISHED
Object similar to other UK university chancellors LITERAL 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: similar to other UK university chancellors | Statement: [Chancellor of the University of Sussex, roleComparedTo, similar to other UK university chancellors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleComparedTo
Context triple: [Chancellor of the University of Sussex, roleComparedTo, similar to other UK university chancellors]
  • A. comparativeRole chosen
    Indicates a relationship where one entity’s role is compared to another’s in terms of level, importance, or function.
  • B. rankComparedTo
    Indicates the relative ordering or position of one entity in comparison to another based on a specified ranking criterion.
  • C. roleSimilarTo
    Indicates that two entities have roles or functions that are alike or closely comparable in nature or responsibility.
  • D. role
    Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
  • E. rankWithinOrganization
    Indicates the relative hierarchical position or level an entity holds within a specific organization.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8932b8bc8190bd31e11b167a7212 completed March 20, 2026, 5:51 p.m.
PD Predicate disambiguation batch_69bd84660ea08190a641084814fcf94d completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:04 p.m.