Triple

T2113817
Position Surface form Disambiguated ID Type / Status
Subject Pageant E42561 entity
Predicate supportsKeyType P9247 FINISHED
Object ECDSA E195587 NE 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: ECDSA | Statement: [Pageant, supportsKeyType, ECDSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECDSA
Context triple: [Pageant, supportsKeyType, ECDSA]
  • A. Elliptic Curve Digital Signature Algorithm chosen
    Elliptic Curve Digital Signature Algorithm is a public-key cryptographic method that uses elliptic curve mathematics to create compact, secure digital signatures for authentication and data integrity.
  • B. Ed25519
    Ed25519 is a high-speed, high-security elliptic-curve digital signature scheme widely used in modern cryptographic protocols and software.
  • C. ECC
    ECC is a public-key cryptography approach that uses the mathematics of elliptic curves to provide strong security with relatively small key sizes.
  • D. ECC
    ECC is the National Rail station code for Eccles railway station in Greater Manchester, England.
  • E. Ed448
    Ed448 is a modern high-security elliptic-curve digital signature algorithm designed for strong cryptographic assurance and efficient performance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb05b51c81908a78c816f492c45c completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae30748a7c81908ab3e08b7aa9900a completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.