Triple
T1257841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICQ |
E12432
|
entity |
| Predicate | acquiredBy |
P347
|
FINISHED |
| Object | Mail.ru Group |
E143097
|
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: Mail.ru Group | Statement: [ICQ, acquiredBy, Mail.ru Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mail.ru Group Context triple: [ICQ, acquiredBy, Mail.ru Group]
-
A.
Mail.ru Group
chosen
Mail.ru Group is a major Russian internet company known for its popular email service, social networks, and online platforms.
-
B.
Lebedev Holdings
Lebedev Holdings is a media investment company controlled by the Lebedev family, best known for owning the London-based newspaper the Evening Standard.
-
C.
Alibaba Group
Alibaba Group is a Chinese multinational conglomerate specializing in e-commerce, retail, internet, and technology, best known for operating major online marketplaces like Taobao and Tmall.
-
D.
Russia Company
The Russia Company, historically known as the Muscovy Company, was a 16th-century English trading company that held a monopoly on trade between England and Russia and played a key role in early Anglo-Russian relations.
-
E.
RZD Technology
RZD Technology is a subsidiary of Russian Railways that focuses on developing and implementing technological and IT solutions for the railway industry.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfaa2b508190a3f61c67b3fa3ad4 |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac9980a2a4819094ab26ac390476be |
completed | March 7, 2026, 9:32 p.m. |
Created at: March 1, 2026, 7:50 p.m.