Triple

T2162907
Position Surface form Disambiguated ID Type / Status
Subject University of Miami School of Law E46840 entity
Predicate hasClinicalProgram P6928 FINISHED
Object legal clinics 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: legal clinics | Statement: [University of Miami School of Law, hasClinicalProgram, legal clinics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClinicalProgram
Context triple: [University of Miami School of Law, hasClinicalProgram, legal clinics]
  • A. establishedProgram
    Indicates that an entity has created and put into operation a formal program that is now in an active, ongoing state.
  • B. hasIndustryProgram
    Indicates that an entity offers, participates in, or is associated with a structured program involving collaboration or engagement with industry organizations or sectors.
  • C. hasProgramme chosen
    Indicates that an entity is associated with or offers a particular programme (such as a course of study, plan, or structured set of activities).
  • D. hasVolunteerProgram
    Indicates that an organization or entity offers an organized program through which individuals can volunteer their time or services.
  • E. hasProgramCode
    Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe8d105c819098371c35c88873dc completed March 7, 2026, 5:58 a.m.
PD Predicate disambiguation batch_69abbd9c90408190b6b65498ca43ce26 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:45 p.m.