Triple

T15263732
Position Surface form Disambiguated ID Type / Status
Subject EIP-1559 E364846 entity
Predicate effectOnFees P25908 FINISHED
Object aims to smooth gas price volatility 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: aims to smooth gas price volatility | Statement: [EIP-1559, effectOnFees, aims to smooth gas price volatility]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: effectOnFees
Context triple: [EIP-1559, effectOnFees, aims to smooth gas price volatility]
  • A. effectOnTaxes
    Indicates how one entity or action changes, influences, or determines the amount, structure, or treatment of taxes for another entity or situation.
  • B. effectOnTotalInterest
    Indicates how a given factor or action changes the overall amount of interest accrued or owed.
  • C. effectOnLoans
    Indicates the impact or influence that one factor has on the terms, availability, or behavior of loans.
  • D. transactionFees
    Indicates the fees charged or incurred as part of executing a financial transaction between parties.
  • E. feePolicy chosen
    Indicates the rules or conditions that determine how fees are calculated, applied, or charged in a given context.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084fed0481908e452c89cba2be82 completed April 15, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69deca8d1bd48190a4b94f29b425e335 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:14 a.m.