Triple

T33027986
Position Surface form Disambiguated ID Type / Status
Subject SCRAM-SHA-1 E845091 entity
Predicate supportsChannelBindingVariant P175714 FINISHED
Object SCRAM-SHA-1-PLUS 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: SCRAM-SHA-1-PLUS | Statement: [SCRAM-SHA-1, supportsChannelBindingVariant, SCRAM-SHA-1-PLUS]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsChannelBindingVariant
Context triple: [SCRAM-SHA-1, supportsChannelBindingVariant, SCRAM-SHA-1-PLUS]
  • A. channelBindingVariant chosen
    Indicates a relationship where one entity is a variant or alternative form of another entity’s channel binding mechanism.
  • B. supportsCipherSuite
    Indicates that one entity is capable of using or handling a specified cryptographic cipher suite in secure communications.
  • C. supportsChannels
    Indicates that one entity is capable of handling, providing, or being compatible with one or more specified channels for communication, distribution, or operation.
  • D. supportsSymmetricVariant
    Indicates that one entity is compatible with or enables the use of a symmetric (mirrored or bidirectional) variant of another entity or feature.
  • E. supportsX509
    Indicates that one entity is capable of handling, recognizing, or operating with X.509 certificates in its interactions or operations with another entity.
  • 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_69f34950749c8190ae05cd27adb16d58 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379f338b881908e5593e45d764f4d completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:23 a.m.