Triple

T30297811
Position Surface form Disambiguated ID Type / Status
Subject state institutions of Sudan E770566 entity
Predicate areResponsibleFor P636 FINISHED
Object public service delivery in Sudan 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: public service delivery in Sudan | Statement: [state institutions of Sudan, areResponsibleFor, public service delivery in Sudan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areResponsibleFor
Context triple: [state institutions of Sudan, areResponsibleFor, public service delivery in Sudan]
  • A. responsibleFor chosen
    Indicates that one entity has a duty, obligation, or role to manage, oversee, or be accountable for another entity or outcome.
  • B. establishesLiabilityFor
    Indicates that one party is held legally responsible or accountable for a particular act, omission, or outcome.
  • C. blamedOn
    Indicates that responsibility or fault for something is assigned to a particular entity.
  • D. accountabilityTo
    Indicates that one entity is responsible for explaining, justifying, or answering for its actions, decisions, or outcomes to another entity.
  • E. accountableThrough
    Indicates that one entity bears responsibility or can be held answerable by means of, or via the mechanism provided by, another entity or process.
  • 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_69f224881b948190b8c4921b250a44a3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68137aa048190937c6a9397ea514e completed May 2, 2026, 10:56 p.m.
PD Predicate disambiguation batch_69f6760216108190bbb708d53a6c2c25 completed May 2, 2026, 10:09 p.m.
Created at: April 29, 2026, 7:48 p.m.