Triple

T2114412
Position Surface form Disambiguated ID Type / Status
Subject NNTP E42573 entity
Predicate abbreviation P43 FINISHED
Object NNTP E42573 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: NNTP | Statement: [NNTP, abbreviation, NNTP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NNTP
Context triple: [NNTP, abbreviation, NNTP]
  • A. NNTP chosen
    NNTP (Network News Transfer Protocol) is an application-layer protocol used for reading and posting articles on Usenet newsgroups over TCP/IP networks.
  • B. 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.
  • C. Gnus
    Gnus is a flexible and extensible message reader for news and email, tightly integrated with the Emacs text editor.
  • D. sns
    sns is the conventional alias used when importing Seaborn, a popular Python data visualization library built on top of Matplotlib.
  • E. Netscape Mail
    Netscape Mail was an early email client developed by Netscape Communications Corporation, widely used in the 1990s as part of the Netscape Communicator internet suite.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb05b51c81908a78c816f492c45c completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3076afec819091183e328cff58c8 completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.