Triple

T689303
Position Surface form Disambiguated ID Type / Status
Subject Department of Surgery, University of Cambridge E13354 entity
Predicate typeOfEducationProvided P177 FINISHED
Object clinical education 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: clinical education | Statement: [Department of Surgery, University of Cambridge, typeOfEducationProvided, clinical education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfEducationProvided
Context triple: [Department of Surgery, University of Cambridge, typeOfEducationProvided, clinical education]
  • A. educationType chosen
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • B. educatedAt
    Indicates that an entity received education or formal training at a specified institution or place of learning.
  • C. requiresEducation
    Indicates that performing or holding the related role, activity, or position depends on having a specified level or type of education.
  • D. educationLevelAtIssue
    Indicates that the relationship concerns the specific level of education being questioned, disputed, or otherwise central to a particular issue or context.
  • E. academicDegree
    Indicates that an entity holds or has been awarded a specific academic degree.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0f55f7481909e052a25bd12d455 completed March 1, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69a49d2048d48190ab99ab59accb6909 completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.