Triple

T14388172
Position Surface form Disambiguated ID Type / Status
Subject Messages for Web E356775 entity
Predicate belongsToProductFamily P11218 FINISHED
Object Google Messages E72119 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: Google Messages | Statement: [Messages for Web, belongsToProductFamily, Google Messages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Messages
Context triple: [Messages for Web, belongsToProductFamily, Google Messages]
  • A. Google Messages chosen
    Google Messages is Google's default SMS, RCS, and chat messaging app for Android that supports rich media, group chats, and end-to-end encryption for certain conversations.
  • B. Google Talk
    Google Talk was an instant messaging and voice-over-IP service developed by Google that allowed users to chat and make voice calls over the internet.
  • C. Messenger
    Messenger is Symfony’s message bus and asynchronous processing component that enables handling commands, events, and queued messages in a decoupled way.
  • D. Messenger
    Messenger was a prominent American Standardbred racehorse celebrated for his significant influence on the development of the modern harness racing breed.
  • E. Messenger
    Messenger is Meta's cross-platform messaging application that enables users to send text, voice, and video communications across mobile and web.
  • 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_69fd648409f48190b099cd137879487e completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:16 a.m.