Triple

T32479997
Position Surface form Disambiguated ID Type / Status
Subject Tribunales de Juicio Oral en lo Penal E830081 entity
Predicate evidenceEvaluation P174490 FINISHED
Object apreciación de la prueba conforme a la sana crítica 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: apreciación de la prueba conforme a la sana crítica | Statement: [Tribunales de Juicio Oral en lo Penal, evidenceEvaluation, apreciación de la prueba conforme a la sana crítica]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: evidenceEvaluation
Context triple: [Tribunales de Juicio Oral en lo Penal, evidenceEvaluation, apreciación de la prueba conforme a la sana crítica]
  • A. evidenceCited
    Indicates that one entity is used as supporting evidence or citation for the claims or content of another entity.
  • B. providesEvidenceFor
    Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
  • C. evaluatesDrug
    Indicates that an entity assesses or judges the properties, effectiveness, or impact of a drug.
  • D. evaluatedDrug
    Indicates that a particular drug has been assessed or tested, typically in the context of a study, experiment, or evaluation process.
  • E. evaluationModel
    Indicates a relationship where one entity serves as a model, standard, or framework used to assess, judge, or measure the performance or quality of another entity.
  • F. None of above. chosen

Provenance (4 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_69f3491ff3b48190b50a7fa00bb05b1f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c395640c81908808b2d4d40f26e7 completed May 3, 2026, 3:40 a.m.
PD Predicate disambiguation batch_69f6bd25bed08190befcabd3a41ffadf completed May 3, 2026, 3:12 a.m.
PDg Predicate description generation batch_69f6c1b666188190ac43c3011a7df048 completed May 3, 2026, 3:32 a.m.
Created at: May 1, 2026, 12:58 a.m.