Triple

T22551930
Position Surface form Disambiguated ID Type / Status
Subject Facultad de Enfermería E557578 entity
Predicate dependencia P38982 FINISHED
Object Universidad de la República 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: Universidad de la República | Statement: [Facultad de Enfermería, dependencia, Universidad de la República]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dependencia
Context triple: [Facultad de Enfermería, dependencia, Universidad de la República]
  • A. dependency chosen
    Indicates that one entity relies on, is conditioned by, or cannot function or exist properly without another entity.
  • B. metricDependence
    Indicates that one quantity, property, or outcome is determined, influenced, or measured in terms of another specified metric.
  • C. kernelDependsOn
    Indicates that one kernel or core software component requires another kernel or component to be present or available in order to function correctly.
  • D. crownDependencyOf
    Indicates that one entity is a Crown dependency that is self-governing but under the sovereignty or jurisdiction of another entity (typically a state or monarch).
  • E. independenceFrom
    Indicates that one entity is not controlled, governed, or significantly influenced by 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7647208190a1aaebd083bf095a completed April 29, 2026, 1:31 a.m.
PD Predicate disambiguation batch_69e898cb3fb48190add6ab24a2df5822 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:52 p.m.