Triple

T28480090
Position Surface form Disambiguated ID Type / Status
Subject Ley 2/1985 de Protección Civil E720667 entity
Predicate competenciasEstado P172816 FINISHED
Object coordinación general de la protección civil 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: coordinación general de la protección civil | Statement: [Ley 2/1985 de Protección Civil, competenciasEstado, coordinación general de la protección civil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: competenciasEstado
Context triple: [Ley 2/1985 de Protección Civil, competenciasEstado, coordinación general de la protección civil]
  • A. tieneCompetenciaEn
    Indicates that an entity possesses skill, expertise, or competence in a specific area, field, or activity.
  • B. tieneCompetencia
    Indicates that one entity has or faces competition from another entity.
  • C. competencia
    Indicates that one entity is in a state of competition or rivalry with another, typically striving to achieve a similar goal or advantage.
  • D. regionalCompetitionParticipation
    Indicates that an entity takes part in a competition or contest organized at a regional level.
  • E. homeStateCompetition
    Indicates a competitive event or rivalry that takes place within, or is specifically associated with, an entity’s home state.
  • 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_69f01a5983f48190b7c1b8857245a4f7 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f6b0d21dd08190a9883ff71c94c71c completed May 3, 2026, 2:20 a.m.
PD Predicate disambiguation batch_69f6aca204148190850a3dc325bc07b7 completed May 3, 2026, 2:02 a.m.
PDg Predicate description generation batch_69f6afeaaef88190aefa97e83f8db906 completed May 3, 2026, 2:16 a.m.
Created at: April 28, 2026, 2:54 a.m.