Triple

T15263736
Position Surface form Disambiguated ID Type / Status
Subject EIP-1559 E364846 entity
Predicate effectOnSecurity P91654 FINISHED
Object maintains miner incentives via tips and block rewards 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: maintains miner incentives via tips and block rewards | Statement: [EIP-1559, effectOnSecurity, maintains miner incentives via tips and block rewards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: effectOnSecurity
Context triple: [EIP-1559, effectOnSecurity, maintains miner incentives via tips and block rewards]
  • A. securityImplication chosen
    Indicates that one entity has a consequence, effect, or relevance for the safety, protection, or vulnerability status of another entity or system.
  • B. relatedSecurity
    Indicates that one security has a defined relationship or association with another security, such as dependency, linkage, or relevance.
  • C. hasSecuritySignificance
    Indicates that something possesses importance or impact in the context of security, such as affecting safety, protection, or risk levels.
  • D. hasSecurityConsideration
    Indicates that there is a relevant security-related issue, risk, or precaution associated with the referenced entity.
  • E. effectOnSystem
    Indicates the influence, change, or impact that one entity, action, or condition has on the state or behavior of a system.
  • 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.