Triple

T14395867
Position Surface form Disambiguated ID Type / Status
Subject RFC 4791 E356946 entity
Predicate usesProtocol P203 FINISHED
Object HTTP E1064 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: HTTP | Statement: [RFC 4791, usesProtocol, HTTP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HTTP
Context triple: [RFC 4791, usesProtocol, HTTP]
  • A. HTTP chosen
    HTTP (Hypertext Transfer Protocol) is the foundational application-layer protocol used for transmitting web pages and other resources across the World Wide Web.
  • B. HTTP/1.1
    HTTP/1.1 is a widely used version of the Hypertext Transfer Protocol that introduced persistent connections, chunked transfer encoding, and improved caching mechanisms for web communication.
  • C. HHTP
    HHTP is the abbreviated name for Hòa Lạc Hi-Tech Park, a major technology and innovation hub in Vietnam.
  • D. HTTP/2
    HTTP/2 is a major revision of the Hypertext Transfer Protocol that introduced features like multiplexing, header compression, and server push to significantly improve web performance over HTTP/1.1.
  • E. HTTP Datagrams
    HTTP Datagrams are a mechanism for sending unreliable, connection-associated data alongside HTTP requests and responses, enabling low-latency, datagram-style communication over HTTP.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551cbdb08190a9ea53e607f2555b completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.