Triple

T35903953
Position Surface form Disambiguated ID Type / Status
Subject Thai Health Promotion Foundation E1038421 entity
Predicate primaryFundingMechanism P59 FINISHED
Object earmarked sin taxes 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: earmarked sin taxes | Statement: [Thai Health Promotion Foundation, primaryFundingMechanism, earmarked sin taxes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryFundingMechanism
Context triple: [Thai Health Promotion Foundation, primaryFundingMechanism, earmarked sin taxes]
  • A. primarySettlementMechanism
    Indicates the main method or process by which a transaction or obligation is settled between parties.
  • B. hasPrimaryFundingSource
    Indicates that an entity receives its main or principal financial support from a specified funding source.
  • C. secondaryFundingSource
    Indicates that an entity has an additional, non-primary source of financial support or funding.
  • D. Pillar IIFundingMechanism
    Indicates a funding-related relationship under Pillar II, specifying how financial resources are provided, structured, or allocated within that pillar’s framework.
  • E. fundingModel chosen
    Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
  • 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_69f76e2259608190bf6788a132e0d139 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037ce70f54819082946dad8d380825 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a069e6c8190857b611fffb7b867 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:07 p.m.