Triple

T24360637
Position Surface form Disambiguated ID Type / Status
Subject Subsecretaría de Pesca y Acuicultura de Chile E614044 entity
Predicate temaDePolíticaPública P148602 FINISHED
Object pesca artesanal 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: pesca artesanal | Statement: [Subsecretaría de Pesca y Acuicultura de Chile, temaDePolíticaPública, pesca artesanal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temaDePolíticaPública
Context triple: [Subsecretaría de Pesca y Acuicultura de Chile, temaDePolíticaPública, pesca artesanal]
  • A. policyTopic chosen
    Indicates that one entity is about, concerned with, or categorized under a particular policy-related subject or theme.
  • B. politicalTheme
    Indicates that something is related to, characterized by, or primarily concerned with politics, governance, or political issues.
  • C. policyFocus
    Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
  • D. mainPoliticalDevelopment
    Indicates the primary or most significant political change, event, or evolution affecting an entity within a given period or context.
  • E. policyForum
    Indicates a relationship where entities participate in, are associated with, or are the subject of a policy-focused discussion or decision-making forum.
  • 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_69e2d7dfe7f08190b7a1f3a36483ab05 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29383ccb88190a4752fe7ccd93fd5 completed April 29, 2026, 11:25 p.m.
PD Predicate disambiguation batch_69f287bb1b2c81909c2e7fcc392ad143 completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 2 a.m.