Triple

T8080601
Position Surface form Disambiguated ID Type / Status
Subject National Revenue Fund (South Africa) E188602 entity
Predicate disbursementMechanism P9378 FINISHED
Object appropriation through the national budget process 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: appropriation through the national budget process | Statement: [National Revenue Fund (South Africa), disbursementMechanism, appropriation through the national budget process]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: disbursementMechanism
Context triple: [National Revenue Fund (South Africa), disbursementMechanism, appropriation through the national budget process]
  • A. disbursementOption chosen
    Indicates the method or arrangement by which funds are paid out or distributed.
  • B. disburses
    Indicates the act of paying out or distributing funds or resources from a source to a recipient.
  • C. primarySettlementMechanism
    Indicates the main method or process by which a transaction or obligation is settled between parties.
  • D. methodOfSettlement
    Indicates the way in which a transaction, obligation, or dispute is resolved, completed, or paid.
  • E. settlementMode
    Indicates the method or process by which a financial or transactional obligation is settled or completed between parties.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a504d48190ace96e814d99b182 completed March 31, 2026, 3:33 a.m.
PD Predicate disambiguation batch_69cb049f1614819087360d1a4c6f0faa completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:28 p.m.