Triple

T270549
Position Surface form Disambiguated ID Type / Status
Subject SMTP E5622 entity
Predicate relatedProtocol P2830 FINISHED
Object POP3 E5623 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: POP3 | Statement: [SMTP, relatedProtocol, POP3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: POP3
Context triple: [SMTP, relatedProtocol, POP3]
  • A. POP3 chosen
    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.
  • B. SMTP
    SMTP (Simple Mail Transfer Protocol) is a standard communication protocol used for sending and routing email messages across IP networks.
  • C. IMAP
    IMAP (Internet Message Access Protocol) is a standard email protocol that allows clients to access and manage messages stored on a mail server while keeping them synchronized across multiple devices.
  • D. InMail
    InMail is LinkedIn’s premium messaging tool that lets users directly contact other members they’re not connected with on the platform.
  • E. Outlook
    Outlook is Microsoft’s email and personal information management application that provides integrated email, calendar, contacts, and task functionality for individuals and organizations.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25db17e8c8190a6ebcadd8a0abf4d completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38b9220f08190a94ffd00bb7425fd completed March 1, 2026, 12:42 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.