Triple
T6360645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VK |
E143098
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object | VKontakte |
E143098
|
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: VKontakte | Statement: [VK, operates, VKontakte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VKontakte Context triple: [VK, operates, VKontakte]
-
A.
Odnoklassniki social network
Odnoklassniki is a popular Russian social networking service focused on connecting classmates, friends, and family, widely used for communication, photo sharing, and entertainment.
-
B.
VK
chosen
VK is a major Russian technology company best known for operating the VKontakte social networking service and other popular online platforms.
-
C.
Mail.ru Group
Mail.ru Group is a major Russian internet company known for its popular email service, social networks, and online platforms.
-
D.
Orkut
Orkut was a social networking service owned and operated by Google that was especially popular in Brazil and India during the mid-2000s.
-
E.
Facebook
Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f8758081909c5ce40abf57dd2c |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6637a1b548190b5af5cbae81346e8 |
completed | March 27, 2026, 11:01 a.m. |
Created at: March 22, 2026, 4:32 p.m.