Triple

T10532262
Position Surface form Disambiguated ID Type / Status
Subject SHA-256 E248473 entity
Predicate belongsToFamily P4276 FINISHED
Object SHA-2 E434687 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: SHA-2 | Statement: [SHA-256, belongsToFamily, SHA-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SHA-2
Context triple: [SHA-256, belongsToFamily, SHA-2]
  • A. SHA-2 chosen
    SHA-2 is a family of cryptographic hash functions widely used for data integrity, digital signatures, and security protocols on the internet.
  • B. SHA-256
    SHA-256 is a widely used cryptographic hash function from the SHA-2 family that produces a 256-bit hash value for securing data integrity and authentication.
  • C. SHA-1
    SHA-1 is a now-legacy 160-bit cryptographic hash function once widely used for data integrity and digital signatures but today considered insecure due to practical collision attacks.
  • D. SHA-0
    SHA-0 is an early, now-obsolete cryptographic hash function in the Secure Hash Algorithm family, known for its structural weaknesses and subsequent replacement by SHA-1.
  • E. Secure Hash Standard
    The Secure Hash Standard is a U.S. federal standard that specifies secure hash algorithms (such as the SHA family) used for generating fixed-size cryptographic hashes to ensure data integrity and support digital signatures.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a17f23081909f3372e160e21670 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b1b0de8819089e39ec76e6bdf59 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:30 p.m.