Triple

T19494431
Position Surface form Disambiguated ID Type / Status
Subject Feistel network E487732 entity
Predicate usedBy P260 FINISHED
Object DES NE NERFINISHED

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: DES | Statement: [Feistel network, usedBy, DES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DES
Context triple: [Feistel network, usedBy, DES]
  • A. DES
    DES is a large astronomical survey project that maps hundreds of millions of galaxies to study dark energy and the expansion history of the universe.
  • B. DES chosen
    DES (Data Encryption Standard) is a now-obsolete symmetric-key block cipher that was once a widely used U.S. government encryption standard but fell out of favor due to its relatively short key length and vulnerability to brute-force attacks.
  • C. DESE
    DESE is the state agency responsible for overseeing public elementary and secondary education in Massachusetts, including standards, accountability, and school support.
  • D. DESE
    DESE is the state agency responsible for overseeing public elementary and secondary education in Missouri, including setting academic standards, administering assessments, and supporting local school districts.
  • E. SDES
    SDES (Session Description Protocol Security Descriptions) is a key management mechanism used to negotiate and convey cryptographic parameters for securing media streams in real-time communication protocols.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6349002788190afe7831d008d440f completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:40 p.m.