Triple

T4325611
Position Surface form Disambiguated ID Type / Status
Subject Flask-Mail E96627 entity
Predicate typicalImportName P20017 FINISHED
Object flask_mail E96627 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: flask_mail | Statement: [Flask-Mail, typicalImportName, flask_mail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: flask_mail
Context triple: [Flask-Mail, typicalImportName, flask_mail]
  • A. Flask-Mail chosen
    Flask-Mail is a Flask extension that simplifies sending email from Flask applications by integrating common email protocols and configuration into the framework.
  • B. Mailer
    Mailer is a surname most notably associated with American novelist, journalist, and essayist Norman Mailer.
  • C. Flask-WTF
    Flask-WTF is a Flask extension that integrates WTForms to simplify web form creation, validation, and CSRF protection in Flask applications.
  • D. SMTP
    SMTP (Simple Mail Transfer Protocol) is a standard communication protocol used for sending and routing email messages across IP networks.
  • E. RocketMail
    RocketMail was one of the earliest free web-based email services, later acquired and integrated into Yahoo's email platform.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3512ec18481908a7b5c29b3902b53 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09861a4819086a88bb42a8ea2e4 completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:13 p.m.