Triple
T3419618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telegram |
E72084
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Telegram Desktop |
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 Desktop | Statement: [Telegram, hasComponent, Telegram Desktop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telegram Desktop Context triple: [Telegram, hasComponent, Telegram Desktop]
-
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.
Catemu
Catemu is a small Chilean town and commune located in the Valparaíso Region, known for its agricultural activity within the Aconcagua Valley.
-
C.
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.
-
D.
DingTalk
DingTalk is a Chinese enterprise communication and collaboration platform that offers messaging, video conferencing, task management, and office automation tools for businesses.
-
E.
Microsoft Chat
Microsoft Chat is an early Windows-based chat client from Microsoft that provided graphical, comic-style online conversations using IRC-like services.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb94d6808819080997df30119e71e |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b354701e908190a8a7f14ae578fa5d |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.