Triple
T6360654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VK |
E143098
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object | Youla |
E587891
|
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: Youla | Statement: [VK, operates, Youla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Youla Context triple: [VK, operates, Youla]
-
A.
Youla
chosen
Youla is a Russian online classifieds platform for buying and selling goods and services, owned by the internet company Mail.ru Group (now VK).
-
B.
Hägglunds
Hägglunds is a Swedish defense and engineering company best known for developing and producing armored combat vehicles and other military land systems.
-
C.
Radau
Radau is a river in Lower Saxony, Germany, known as a tributary of the Oker and for flowing through the Harz region.
-
D.
Micali
Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
-
E.
Sanaig
Sanaig is a core single malt Scotch whisky expression from Islay’s Kilchoman distillery, known for its balance of bourbon and sherry cask influence with a characteristically smoky, coastal profile.
- 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_69c6386c7f68819094595d5339deae2a |
completed | March 27, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:32 p.m.