Triple

T16702482
Position Surface form Disambiguated ID Type / Status
Subject Mozilla Messaging E405885 entity
Predicate supportsProtocol P203 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: [Mozilla Messaging, supportsProtocol, NNTP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NNTP
Context triple: [Mozilla Messaging, supportsProtocol, 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. Usenet
    Usenet is a worldwide distributed discussion system that predates the modern web, where users post and read messages in topic-based newsgroups.
  • C. 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.
  • D. MMQT
    MMQT is the ICAO airport code for Querétaro International Airport in Querétaro, Mexico.
  • E. Gmane
    Gmane is an online service that archives and provides searchable, web- and NNTP-based access to mailing list discussions.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383326d7081909ef4c3b724876513 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a0dee08190a67ed5df2008c91e completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.