Triple

T9209388
Position Surface form Disambiguated ID Type / Status
Subject College of Social Sciences E221072 entity
Predicate hasDisciplineArea P592 FINISHED
Object social work 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: social work | Statement: [College of Social Sciences, hasDisciplineArea, social work]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDisciplineArea
Context triple: [College of Social Sciences, hasDisciplineArea, social work]
  • A. hasCurriculumArea
    Indicates that an educational program, course, or learning activity is associated with a specific curriculum area or subject domain.
  • B. hasSubdiscipline
    Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
  • C. hasResearchArea
    Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
  • D. associatedWithDiscipline chosen
    Indicates that an entity has a relevant connection or involvement with a particular academic, professional, or thematic discipline.
  • E. governingDiscipline
    Indicates that one discipline or field provides the primary rules, principles, or framework that regulate or guide another activity, domain, or practice.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b3c8c081909a688ce699928fc0 completed April 1, 2026, 8:39 a.m.
PD Predicate disambiguation batch_69cc660af2408190ae06eb8326e1c64e completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:26 p.m.