Triple
T7932946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dialogflow |
E184225
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Telegram |
E72084
|
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: Telegram | Statement: [Dialogflow, integratesWith, Telegram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telegram Context triple: [Dialogflow, integratesWith, Telegram]
-
A.
Telegram
chosen
Telegram is a cloud-based instant messaging service known for its speed, security features, and support for large group chats and channels across multiple platforms.
-
B.
Google Chat
Google Chat is a business-focused messaging platform by Google that supports direct messages, group conversations, and integrated collaboration within the Google Workspace ecosystem.
-
C.
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.
-
D.
VK
VK is a major Russian technology company best known for operating the VKontakte social networking service and other popular online platforms.
-
E.
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.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3acfd2a88190b1a13cd6fdedc272 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c041e588190bfbf251ed88d5bcd |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:08 p.m.