Triple

T10158548
Position Surface form Disambiguated ID Type / Status
Subject Usenet E233830 entity
Predicate basedOnProtocol P35980 FINISHED
Object UUCP E701319 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: UUCP | Statement: [Usenet, basedOnProtocol, UUCP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UUCP
Context triple: [Usenet, basedOnProtocol, UUCP]
  • A. UUCP chosen
    UUCP (Unix-to-Unix Copy Program) is an early suite of computer programs and protocols used primarily on Unix systems to transfer files, email, and netnews between computers over serial lines and dial-up connections.
  • B. Usenet
    Usenet is a worldwide distributed discussion system that predates the modern web, where users post and read messages in topic-based newsgroups.
  • C. NNTP
    NNTP (Network News Transfer Protocol) is an application-layer protocol used for reading and posting articles on Usenet newsgroups over TCP/IP networks.
  • D. CompuServe Network Services
    CompuServe Network Services was a major early commercial online service and internet access provider that played a key role in the development of consumer and business connectivity before the widespread adoption of the modern web.
  • E. Gnus
    Gnus is a flexible and extensible message reader for news and email, tightly integrated with the Emacs text editor.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec5507f08190b47f797bacd5640c completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300b7b3108190a8e7581193c322be completed April 6, 2026, 12:39 a.m.
Created at: March 30, 2026, 9:09 p.m.