Triple

T23258024
Position Surface form Disambiguated ID Type / Status
Subject Internet in Sierra Leone E581923 entity
Predicate policyIssues P148602 FINISHED
Object quality of service regulation 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: quality of service regulation | Statement: [Internet in Sierra Leone, policyIssues, quality of service regulation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policyIssues
Context triple: [Internet in Sierra Leone, policyIssues, quality of service regulation]
  • A. politicalIssueIn
    Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
  • B. policyTopic chosen
    Indicates that one entity is about, concerned with, or categorized under a particular policy-related subject or theme.
  • C. politicalIssueFor
    Indicates a relationship where a particular topic, problem, or policy area is considered a matter of political concern or debate for a given entity.
  • D. 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.
  • E. politicalAct
    Indicates that an entity performs, participates in, or is involved with an action related to politics, governance, or public policy.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c710c48190aff03d210642a043 completed April 29, 2026, 5:19 a.m.
PD Predicate disambiguation batch_69effce4d704819092826931d430e8c4 completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 4:11 p.m.