Triple

T1711989
Position Surface form Disambiguated ID Type / Status
Subject Elliptic Curve Cryptography E37202 entity
Predicate standardizedBy P1371 FINISHED
Object SECG
SECG (Standards for Efficient Cryptography Group) is an industry consortium that develops and promotes standards for efficient public-key cryptography, particularly elliptic curve cryptography.
 E192663 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: SECG | Statement: [Elliptic Curve Cryptography, standardizedBy, SECG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SECG
Context triple: [Elliptic Curve Cryptography, standardizedBy, SECG]
  • A. SecAg
    SecAg is the commonly used abbreviation for the United States Secretary of Agriculture, the Cabinet official who oversees federal agricultural policy and the Department of Agriculture.
  • B. PSEC
    PSEC is a professional committee focused on advancing the study, design, and regulation of electric power systems and related engineering practices.
  • C. ECC
    ECC is the National Rail station code for Eccles railway station in Greater Manchester, England.
  • D. SCSE
    SCSE is the ICAO airport code assigned to La Florida Airport in Chile.
  • E. NETSGC
    NETSGC is the abbreviated name and competitive brand identity of Nets Gaming Crew, the NBA 2K League affiliate of the Brooklyn Nets.
  • 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: SECG
Triple: [Elliptic Curve Cryptography, standardizedBy, SECG]
Generated description
SECG (Standards for Efficient Cryptography Group) is an industry consortium that develops and promotes standards for efficient public-key cryptography, particularly elliptic curve cryptography.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SECG
Target entity description: SECG (Standards for Efficient Cryptography Group) is an industry consortium that develops and promotes standards for efficient public-key cryptography, particularly elliptic curve cryptography.
  • A. SecAg
    SecAg is the commonly used abbreviation for the United States Secretary of Agriculture, the Cabinet official who oversees federal agricultural policy and the Department of Agriculture.
  • B. PSEC
    PSEC is a professional committee focused on advancing the study, design, and regulation of electric power systems and related engineering practices.
  • C. ECC
    ECC is the National Rail station code for Eccles railway station in Greater Manchester, England.
  • D. SCSE
    SCSE is the ICAO airport code assigned to La Florida Airport in Chile.
  • E. NETSGC
    NETSGC is the abbreviated name and competitive brand identity of Nets Gaming Crew, the NBA 2K League affiliate of the Brooklyn Nets.
  • F. None of above. chosen

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_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.
NEDg Description generation batch_69ad957adf1c8190b7c8656c1984f998 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97af6b388190b2af293599108df3 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.