Triple

T14387937
Position Surface form Disambiguated ID Type / Status
Subject Google services ecosystem E356771 entity
Predicate includesService P1393 FINISHED
Object Gmail API E697202 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: Gmail API | Statement: [Google services ecosystem, includesService, Gmail API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gmail API
Context triple: [Google services ecosystem, includesService, Gmail API]
  • A. Gmail API chosen
    The Gmail API is a Google service that lets developers programmatically access and manage Gmail mailboxes, including reading, sending, and organizing email.
  • B. Gmail
    Gmail is Google's widely used web-based email service known for its large storage capacity, powerful search, and integration with other Google products.
  • C. Google Vault
    Google Vault is a data retention, eDiscovery, and information governance tool for Google Workspace that helps organizations preserve, search, and export user data for compliance and legal purposes.
  • 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. Mail
    Mail is a Flask extension class that provides a simple interface for sending email messages from Flask web applications.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90283b9c8190b50d30ad58bfe085 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551623608190ba1de09b423cc5e1 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.