Triple
T3419553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telegram |
E72084
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Telegram FZ LLC |
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 FZ LLC | Statement: [Telegram, developer, Telegram FZ LLC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telegram FZ LLC Context triple: [Telegram, developer, Telegram FZ LLC]
-
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.
Long Telegram
The Long Telegram was a 1946 diplomatic cable by U.S. diplomat George F. Kennan that laid the intellectual foundation for the Cold War strategy of containment against the Soviet Union.
-
C.
The Exponent Telegram
The Exponent Telegram is a local daily newspaper serving Clarksburg and the surrounding north-central region of West Virginia.
-
D.
T.A.T. Communications Company
T.A.T. Communications Company was a television production company best known for producing popular American sitcoms in the 1970s and 1980s.
-
E.
Mail.ru Group
Mail.ru Group is a major Russian internet company known for its popular email service, social networks, and online platforms.
- 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.