Triple

T37123876
Position Surface form Disambiguated ID Type / Status
Subject HChaCha20 E919336 entity
Predicate domainSeparation P187170 FINISHED
Object uses nonce prefix as diversification input 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: uses nonce prefix as diversification input | Statement: [HChaCha20, domainSeparation, uses nonce prefix as diversification input]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: domainSeparation
Context triple: [HChaCha20, domainSeparation, uses nonce prefix as diversification input]
  • A. definedSeparationFrom
    Indicates a formally specified distinction or boundary established between one entity and another.
  • B. knownSeparation
    Indicates that a separation or split between entities is recognized or has been established as a known fact.
  • C. typeOfSeparation
    Indicates the specific manner or category of separation that exists or occurred between entities.
  • D. demarcationType
    Indicates the specific way in which a boundary or separation between entities is defined, marked, or categorized.
  • E. separationContext
    Indicates the situational or contextual factors under which two entities become separated or are considered distinct from one another.
  • 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_69f76e9d13e48190a108f7fbf80ff375 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb344c60f8819090f2e21e1e61d621 completed May 6, 2026, 12:30 p.m.
PD Predicate disambiguation batch_69fb2f642db08190b562725502c74ea6 completed May 6, 2026, 12:09 p.m.
PDg Predicate description generation batch_69fb344ba5408190a6fe8face293d88b completed May 6, 2026, 12:30 p.m.
Created at: May 3, 2026, 4:15 p.m.