Triple

T38257768
Position Surface form Disambiguated ID Type / Status
Subject Institute for Energy Research E1017839 entity
Predicate positionOnSubsidies P201811 FINISHED
Object opposes subsidies for renewable energy 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: opposes subsidies for renewable energy | Statement: [Institute for Energy Research, positionOnSubsidies, opposes subsidies for renewable energy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnSubsidies
Context triple: [Institute for Energy Research, positionOnSubsidies, opposes subsidies for renewable energy]
  • A. countrySubsidyContext
    Indicates the contextual conditions or circumstances under which a country provides or receives subsidies.
  • B. typeOfSubsidy
    Indicates that one entity is a specific kind or category of subsidy in relation to another entity.
  • C. subsidyAttachment
    Indicates that a subsidy is linked or applied to a particular entity, object, or transaction.
  • D. positionOnWelfare
    Indicates a stance or viewpoint an entity holds regarding welfare policies or welfare-related issues.
  • E. subsidizedInterest
    Indicates that the interest on a loan or financial obligation is partially or fully paid or reduced by a third party, typically a government or institution, rather than borne entirely by the borrower.
  • F. None of above. chosen

Provenance (4 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_69f76de33e4481909099fa812709bd42 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a00233e2170819084bee0c8f74cc1a4 completed May 10, 2026, 6:18 a.m.
PD Predicate disambiguation batch_6a0022943fd08190b73007f080d5971d completed May 10, 2026, 6:15 a.m.
PDg Predicate description generation batch_6a00233d32bc8190bea60b09b46ee7bc completed May 10, 2026, 6:18 a.m.
Created at: May 3, 2026, 4:30 p.m.