Triple

T54026
Position Surface form Disambiguated ID Type / Status
Subject HTTP/1.1 E1064 entity
Predicate successorOf P78 FINISHED
Object HTTP/1.0 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/1.0 | Statement: [HTTP/1.1, successorOf, HTTP/1.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HTTP/1.0
Context triple: [HTTP/1.1, successorOf, HTTP/1.0]
  • 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/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. Telnet
    Telnet is a network protocol and command-line tool that allows users to remotely access and manage devices over a text-based terminal connection.
  • D. SSL 3.0
    SSL 3.0 is an obsolete cryptographic protocol that once secured internet communications and served as the foundation for the early versions of TLS.
  • E. POP3
    POP3 (Post Office Protocol version 3) is a standard email protocol used by clients to retrieve messages from a remote mail server over a TCP/IP network, typically downloading them for local storage.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b04ef708190876686da9db1f04d completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25ab66dd0819081443ebc4702d3b0 completed Feb. 28, 2026, 3:02 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.