Triple

T311079
Position Surface form Disambiguated ID Type / Status
Subject HTTPS E7608 entity
Predicate usesUnderlyingProtocol P1215 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: [HTTPS, usesUnderlyingProtocol, HTTP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HTTP
Context triple: [HTTPS, usesUnderlyingProtocol, 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. 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.
  • D. HTTPS
    HTTPS is the secure version of the HTTP protocol that encrypts data exchanged between a client and server to protect confidentiality and integrity on the web.
  • E. HTML
    HTML (HyperText Markup Language) is the standard markup language used to structure and present content on the World Wide Web.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea49636c8190a69cbd951fc0a4db completed Feb. 28, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3bc277528819096184b6cc6b98ae2 completed March 1, 2026, 4:10 a.m.
Created at: Feb. 28, 2026, 1:07 p.m.