Triple

T32930074
Position Surface form Disambiguated ID Type / Status
Subject MCKK E842376 entity
Predicate alumniAssociation P126795 FINISHED
Object Malay College Old Boys Association NE NERFINISHED

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: Malay College Old Boys Association | Statement: [MCKK, alumniAssociation, Malay College Old Boys Association]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alumniAssociation
Context triple: [MCKK, alumniAssociation, Malay College Old Boys Association]
  • A. fieldAssociatedWithAlumnus
    Indicates that a particular field of study, profession, or area of expertise is associated with or pursued by a given alumnus.
  • B. officialAlumniOrganizationOf chosen
    Indicates that one organization is the formally recognized alumni association or body representing the graduates of a particular institution.
  • C. alumniType
    Indicates the specific category or classification of an alumnus/alumna in relation to an institution (e.g., graduate, former student, honorary).
  • D. alumnusRepresents
    Indicates that an alumnus acts on behalf of, or serves as a representative of, a particular organization, group, or institution.
  • E. hasAlumni
    Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
  • 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_69f34948adfc8190a937f1f622783c0b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d104151c8190b0a9090ac766468f completed May 3, 2026, 4:37 a.m.
PD Predicate disambiguation batch_69f6cfe5f93c8190995c53dbbe380a32 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 1:20 a.m.