Triple
T4833376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meta AI assistant |
E107997
|
entity |
| Predicate | integratedInto |
P77
|
FINISHED |
| Object | Messenger apps |
E107998
|
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: Messenger apps | Statement: [Meta AI assistant, integratedInto, Messenger apps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Messenger apps Context triple: [Meta AI assistant, integratedInto, Messenger apps]
-
A.
Messenger
Messenger is Symfony’s message bus and asynchronous processing component that enables handling commands, events, and queued messages in a decoupled way.
-
B.
Messenger
chosen
Messenger is Meta's cross-platform messaging application that enables users to send text, voice, and video communications across mobile and web.
-
C.
Messages app
Messages app is Apple’s built-in messaging application for iOS, iPadOS, and macOS that supports SMS, MMS, and rich iMessage conversations across Apple devices.
-
D.
Messages
Messages is Apple’s built-in messaging app for iOS, iPadOS, and macOS that supports SMS, MMS, and iMessage communication across Apple devices.
-
E.
BlackBerry Messenger
BlackBerry Messenger was a proprietary instant messaging service for BlackBerry devices that became widely popular for its secure, real-time chat and push notifications before the rise of modern smartphone messaging apps.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cca88d88190a8ad6cf7856bdf69 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dd744688190a420580e3a8332ff |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.