Triple

T270934
Position Surface form Disambiguated ID Type / Status
Subject HTTP/3 E5630 entity
Predicate successorOf P78 FINISHED
Object HTTP/2 E6319 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/2 | Statement: [HTTP/3, successorOf, HTTP/2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HTTP/2
Context triple: [HTTP/3, successorOf, HTTP/2]
  • A. HTTP/2 chosen
    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.
  • B. HTTP/3
    HTTP/3 is the third major version of the Hypertext Transfer Protocol, built on the QUIC transport protocol to provide faster, more reliable, and secure web communication.
  • C. QUIC
    QUIC is a modern, multiplexed transport protocol developed by Google and standardized by the IETF that runs over UDP to provide faster, more secure, and reliable web connections than traditional TCP-based HTTPS.
  • D. HTTP
    HTTP (Hypertext Transfer Protocol) is the foundational application-layer protocol used for transmitting web pages and other resources across the World Wide Web.
  • E. 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.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25db17e8c8190a6ebcadd8a0abf4d completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38f51aeac81908c6d398e650dc315 completed March 1, 2026, 12:58 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.