Triple

T15770680
Position Surface form Disambiguated ID Type / Status
Subject University of Cambridge Mathematical Tripos E382349 entity
Predicate offersSpecialisation P2902 FINISHED
Object pure mathematics 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: pure mathematics | Statement: [University of Cambridge Mathematical Tripos, offersSpecialisation, pure mathematics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offersSpecialisation
Context triple: [University of Cambridge Mathematical Tripos, offersSpecialisation, pure mathematics]
  • A. offersDiscipline chosen
    Indicates that one entity provides or makes available a particular field of study, training, or area of specialization to another entity.
  • B. productSpecialization
    Indicates that a product is tailored or adapted to meet the specific needs, preferences, or requirements of a particular market segment, use case, or customer group.
  • C. offersProfessionalPrograms
    Indicates that an entity provides formal, career-oriented educational or training programs to others.
  • D. offersEducationIn
    Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
  • E. offersServiceIn
    Indicates that a provider makes a particular service available within a specified location or jurisdiction.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051962fe08190a6201dd48196a9ee completed April 16, 2026, 3:03 a.m.
PD Predicate disambiguation batch_69e00531e7ac8190a4190cce4f7fab4c completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:47 a.m.