Triple

T1077371
Position Surface form Disambiguated ID Type / Status
Subject LTE E23868 entity
Predicate encryptionAlgorithms P5656 FINISHED
Object AES E29784 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: AES | Statement: [LTE, encryptionAlgorithms, AES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AES
Context triple: [LTE, encryptionAlgorithms, AES]
  • A. Advanced Encryption Standard chosen
    Advanced Encryption Standard is a widely used symmetric block cipher standard that secures digital data in applications ranging from wireless networks to government communications.
  • B. AES-GCM
    AES-GCM is an authenticated encryption mode of the Advanced Encryption Standard that provides both data confidentiality and integrity, widely used in modern network and security protocols.
  • C. AES-CTR
    AES-CTR is a widely used symmetric-key encryption mode that turns the AES block cipher into a fast, parallelizable stream cipher by encrypting successive counter values and XORing them with the plaintext.
  • D. Salsa20
    Salsa20 is a high-speed stream cipher designed by Daniel J. Bernstein, widely used in modern cryptography for its strong security and efficient software performance.
  • E. RC5
    RC5 is a symmetric-key block cipher designed by cryptographer Ronald L. Rivest, known for its simplicity, parameter flexibility, and use in various encryption applications.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bb74b0908190be51a7141e661d3e completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42abc7a08190a34f5b2d393db30e completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.