Triple
T9931959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koblitz curves |
E192666
|
entity |
| Predicate | standardizedIn |
P7508
|
FINISHED |
| Object |
ANSI X9.62 historical binary curve sections
ANSI X9.62 historical binary curve sections are legacy cryptographic standards that define specific binary elliptic curves, including Koblitz curves, for use in public-key cryptography.
|
E192666
|
NE FINISHED |
How this triple was built (4 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 X9.62 historical binary curve sections | Statement: [Koblitz curves, standardizedIn, ANSI X9.62 historical binary curve sections]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANSI X9.62 historical binary curve sections Context triple: [Koblitz curves, standardizedIn, ANSI X9.62 historical binary curve sections]
-
A.
Koblitz curves
Koblitz curves are a special class of elliptic curves defined over binary fields that enable particularly efficient and fast implementations of elliptic curve cryptography.
-
B.
brainpool curves
Brainpool curves are a family of elliptic curves over prime fields designed to provide high-security, efficiently implementable alternatives to earlier standardized curves in elliptic curve cryptography.
-
C.
Elliptic Curve Digital Signature Algorithm
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.
-
D.
Schoof–Elkies–Atkin (SEA) point-counting algorithm
The Schoof–Elkies–Atkin (SEA) point-counting algorithm is an efficient method in computational number theory and elliptic curve cryptography for determining the number of points on an elliptic curve over a finite field.
-
E.
Elliptic Curve Cryptography
Elliptic Curve Cryptography is a public-key cryptographic approach that uses the mathematics of elliptic curves over finite fields to provide strong security with relatively small key sizes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ANSI X9.62 historical binary curve sections Triple: [Koblitz curves, standardizedIn, ANSI X9.62 historical binary curve sections]
Generated description
ANSI X9.62 historical binary curve sections are legacy cryptographic standards that define specific binary elliptic curves, including Koblitz curves, for use in public-key cryptography.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ANSI X9.62 historical binary curve sections Target entity description: ANSI X9.62 historical binary curve sections are legacy cryptographic standards that define specific binary elliptic curves, including Koblitz curves, for use in public-key cryptography.
-
A.
Koblitz curves
chosen
Koblitz curves are a special class of elliptic curves defined over binary fields that enable particularly efficient and fast implementations of elliptic curve cryptography.
-
B.
brainpool curves
Brainpool curves are a family of elliptic curves over prime fields designed to provide high-security, efficiently implementable alternatives to earlier standardized curves in elliptic curve cryptography.
-
C.
Elliptic Curve Digital Signature Algorithm
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.
-
D.
Schoof–Elkies–Atkin (SEA) point-counting algorithm
The Schoof–Elkies–Atkin (SEA) point-counting algorithm is an efficient method in computational number theory and elliptic curve cryptography for determining the number of points on an elliptic curve over a finite field.
-
E.
Elliptic Curve Cryptography
Elliptic Curve Cryptography is a public-key cryptographic approach that uses the mathematics of elliptic curves over finite fields to provide strong security with relatively small key sizes.
- F. None of above.
Provenance (5 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b54f348190b8e70e7beff6098a |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228d1620c8190ac7125b268dd6832 |
completed | April 5, 2026, 9:18 a.m. |
| NEDg | Description generation | batch_69d22c3a6fc0819083a376736325a04e |
completed | April 5, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22cabf39881908f45667751384df5 |
completed | April 5, 2026, 9:34 a.m. |
Created at: March 30, 2026, 8:43 p.m.