Triple

T33707371
Position Surface form Disambiguated ID Type / Status
Subject St Clare’s, Oxford E863632 entity
Predicate enrolsInternationalStudents P16422 FINISHED
Object yes 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: yes | Statement: [St Clare’s, Oxford, enrolsInternationalStudents, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: enrolsInternationalStudents
Context triple: [St Clare’s, Oxford, enrolsInternationalStudents, yes]
  • A. hasInternationalStudents chosen
    Indicates that an institution or organization includes students who come from countries other than the one in which it is located.
  • B. internationalStudentsShare
    Indicates the proportion or percentage of a population or group that consists of international students.
  • C. internationalProgram
    Indicates a program that involves participation, collaboration, or exchange across multiple countries or international boundaries.
  • D. offersInternationalPrograms
    Indicates that an institution or organization provides programs or courses available to participants from other countries or across national borders.
  • E. admitsStudentsFrom
    Indicates that an educational institution accepts or enrolls students who come from a specified source, such as a school, region, or program.
  • 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_69f3498844608190bb8f9b14908d2510 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fab770548190a4a27fab2ecc38d7 completed May 3, 2026, 7:35 a.m.
PD Predicate disambiguation batch_69f6f96dd4c8819093d6a7bd046a9ad5 completed May 3, 2026, 7:29 a.m.
Created at: May 1, 2026, 1:43 a.m.