Triple

T2703270
Position Surface form Disambiguated ID Type / Status
Subject RFC 2068 E59281 entity
Predicate definesHeaderField P3703 FINISHED
Object Accept-Charset
Accept-Charset is an HTTP request header that tells the server which character encodings the client is able to understand and prefers.
E290850 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: Accept-Charset | Statement: [RFC 2068, definesHeaderField, Accept-Charset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Accept-Charset
Context triple: [RFC 2068, definesHeaderField, Accept-Charset]
  • A. Accept-Encoding
    Accept-Encoding is an HTTP request header that tells the server which content-encoding algorithms (like gzip or deflate) the client can handle so the server can choose an appropriate compression method.
  • B. Accept-Language
    Accept-Language is an HTTP request header used to indicate the preferred natural languages for the response content.
  • C. UTF-8
    UTF-8 is a widely used variable-length character encoding standard for Unicode that efficiently represents text in most of the world's writing systems while maintaining backward compatibility with ASCII.
  • D. 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.
  • E. Content-Encoding
    Content-Encoding is an HTTP header that specifies the compression or transformation applied to the body of a message so that recipients know how to decode it.
  • 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: Accept-Charset
Triple: [RFC 2068, definesHeaderField, Accept-Charset]
Generated description
Accept-Charset is an HTTP request header that tells the server which character encodings the client is able to understand and prefers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Accept-Charset
Target entity description: Accept-Charset is an HTTP request header that tells the server which character encodings the client is able to understand and prefers.
  • A. Accept-Encoding
    Accept-Encoding is an HTTP request header that tells the server which content-encoding algorithms (like gzip or deflate) the client can handle so the server can choose an appropriate compression method.
  • B. Accept-Language
    Accept-Language is an HTTP request header used to indicate the preferred natural languages for the response content.
  • C. UTF-8
    UTF-8 is a widely used variable-length character encoding standard for Unicode that efficiently represents text in most of the world's writing systems while maintaining backward compatibility with ASCII.
  • D. 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.
  • E. Content-Encoding
    Content-Encoding is an HTTP header that specifies the compression or transformation applied to the body of a message so that recipients know how to decode it.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda5011bc8190ae4e41da391e759c completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf76caec8190930ead7931f7ea91 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb01c248c81909af7358da96aa588 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0ae71888190ab0675b7897f1589 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.