Triple
T5452031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iMessage |
E122390
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Facebook Messenger |
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: Facebook Messenger | Statement: [iMessage, competitor, Facebook Messenger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Facebook Messenger Context triple: [iMessage, competitor, Facebook Messenger]
-
A.
Facebook Chat
Facebook Chat is the instant messaging feature of the Facebook platform that allows users to send real-time text messages and multimedia to their Facebook contacts.
-
B.
WhatsApp
WhatsApp is a widely used cross-platform messaging application that allows users to send text, voice, and multimedia messages and make voice and video calls over the internet.
-
C.
Facebook
Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
-
D.
Messenger
Messenger is Symfony’s message bus and asynchronous processing component that enables handling commands, events, and queued messages in a decoupled way.
-
E.
Messenger
chosen
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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91dfec248190af6f9c793a99c34c |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf413d25008190b100c8297d6063b1 |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:08 p.m.