Triple

T12900934
Position Surface form Disambiguated ID Type / Status
Subject MSW E308607 entity
Predicate mayOfferConcentration P97848 FINISHED
Object clinical 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: clinical social work | Statement: [MSW, mayOfferConcentration, clinical social work]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayOfferConcentration
Context triple: [MSW, mayOfferConcentration, clinical social work]
  • A. mayOfferConcentrationIn chosen
    Indicates that an educational program or institution is permitted to provide a specialized concentration or focus area within a broader field of study.
  • B. hasConcentration
    Indicates that one entity possesses or exhibits a specific level, strength, or density of another substance, property, or attribute.
  • C. mayBeConferredAs
    Indicates that something has the potential or authorization to be formally granted or bestowed upon an entity under certain conditions.
  • D. mayApply
    Indicates that an entity is permitted or eligible to submit or use something (such as a rule, action, or resource) under certain conditions.
  • E. mayServe
    Indicates that one entity is permitted or authorized to provide a service or function to another entity.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97180ee708190b60a3e58c42f764f completed April 10, 2026, 9:54 p.m.
PD Predicate disambiguation batch_69d96fa776648190b9b5c30722ea50b6 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:40 p.m.