Triple

T13491451
Position Surface form Disambiguated ID Type / Status
Subject National Energy Act of 1978 E318640 entity
Predicate containsTaxIncentivesFor P79344 FINISHED
Object energy conservation measures 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: energy conservation measures | Statement: [National Energy Act of 1978, containsTaxIncentivesFor, energy conservation measures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsTaxIncentivesFor
Context triple: [National Energy Act of 1978, containsTaxIncentivesFor, energy conservation measures]
  • A. providedTaxIncentivesForSavings
    Indicates that an authority or organization granted tax benefits to encourage individuals or entities to save money.
  • B. providesIncentivesTo chosen
    Indicates that one entity offers rewards, benefits, or motivations to another entity to encourage a desired behavior or outcome.
  • C. typeOfIncentive
    Indicates the specific kind or category of incentive associated with an entity or action.
  • D. stateIncentives
    Indicates that a state government provides benefits, subsidies, or other inducements to encourage a particular action, behavior, or investment.
  • E. offersIncentive
    Indicates that one entity provides a reward, benefit, or motivation to another entity to encourage a specific action or behavior.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf4c66008190b287e0551889d7c8 completed April 12, 2026, 2:42 p.m.
PD Predicate disambiguation batch_69dbae06061881909a6a6032e0507587 completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:43 p.m.