Triple

T1711990
Position Surface form Disambiguated ID Type / Status
Subject Elliptic Curve Cryptography E37202 entity
Predicate standardizedBy P1371 FINISHED
Object ANSI E6170 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: ANSI | Statement: [Elliptic Curve Cryptography, standardizedBy, ANSI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANSI
Context triple: [Elliptic Curve Cryptography, standardizedBy, ANSI]
  • A. ANSI chosen
    ANSI is a private non-profit organization that oversees the development and coordination of voluntary consensus standards for products, services, processes, and systems in the United States.
  • B. ISO 646
    ISO 646 is an international standard for 7-bit character encodings that defines a set of basic Latin characters and allows national variants, serving as a foundation for many early computer character sets.
  • C. ASCII
    ASCII is a widely used character encoding standard that represents text in computers and other devices using 7-bit numerical codes for letters, digits, punctuation, and control characters.
  • D. ASCI
    ASCI is a prestigious U.S. honor society of physician-scientists dedicated to advancing clinical and translational research.
  • E. Unicode Standard Annexes
    Unicode Standard Annexes are supplementary technical reports that define detailed specifications, algorithms, and guidelines extending and clarifying the core Unicode Standard.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6315afdc81908409435bb47e8ee0 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8addf4a48190b19cdb861db5eecd completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.