Triple

T35879219
Position Surface form Disambiguated ID Type / Status
Subject University of Oxford women's colleges E1037460 entity
Predicate notableEarlyCollege P206088 FINISHED
Object Lady Margaret Hall, Oxford E83944 NE 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: Lady Margaret Hall, Oxford | Statement: [University of Oxford women's colleges, notableEarlyCollege, Lady Margaret Hall, Oxford]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableEarlyCollege
Context triple: [University of Oxford women's colleges, notableEarlyCollege, Lady Margaret Hall, Oxford]
  • A. notableStudent
    Indicates that a person is a distinguished or particularly significant student of another individual or institution.
  • B. notableAlmaMater
    Indicates that an educational institution is a particularly significant or distinguished alma mater of a person or entity, beyond merely having attended or graduated.
  • C. notableInstitution
    Indicates that an institution holds particular significance, prominence, or recognition in relation to the subject.
  • D. notableStudentBodyAssociatedWith
    Indicates that there is a significant or noteworthy group of students associated with a particular entity, such as an institution, organization, or program.
  • E. namedForCollege
    Indicates that an entity is named after or in honor of a particular college.
  • 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_69f76e1e701c8190a4990d4978ce4fe6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037ce70f54819082946dad8d380825 completed May 12, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a42ca7d20688190abc3dac992afd458 completed June 29, 2026, 7:41 p.m.
PD Predicate disambiguation batch_6a037a069e6c8190857b611fffb7b867 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037ce53de881908cf14141cf3bc570 completed May 12, 2026, 7:17 p.m.
Created at: May 3, 2026, 4:06 p.m.