Triple

T37972410
Position Surface form Disambiguated ID Type / Status
Subject School of Social Work (University of Texas Rio Grande Valley) E947324 entity
Predicate fieldPreparesFor P2534 FINISHED
Object professional social work practice 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: professional social work practice | Statement: [School of Social Work (University of Texas Rio Grande Valley), fieldPreparesFor, professional social work practice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fieldPreparesFor
Context triple: [School of Social Work (University of Texas Rio Grande Valley), fieldPreparesFor, professional social work practice]
  • A. preparesFor chosen
    Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
  • B. preparesForEvent
    Indicates that one entity performs actions or makes arrangements in anticipation of a specific event.
  • C. preparesWith
    Indicates that one entity is used as a means, tool, or method by which another entity is prepared or made ready.
  • D. preparedBefore
    Indicates that one entity was prepared or made ready at an earlier time than another entity.
  • E. preparedFor
    Indicates that one entity has been made ready, equipped, or arranged in anticipation of use by or in connection with 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_69f76ef7db908190bba6086673a32300 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc4748843c8190931432653be4890c completed May 7, 2026, 8:03 a.m.
PD Predicate disambiguation batch_69fc45646ce481908caf292ff9f06e15 completed May 7, 2026, 7:55 a.m.
Created at: May 3, 2026, 4:20 p.m.