Triple
T13921789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Вышний Волочёк |
E334762
|
entity |
| Predicate | hasPostalSystem |
P14969
|
FINISHED |
| Object | почта России |
E646178
|
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: почта России | Statement: [Вышний Волочёк, hasPostalSystem, почта России]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: почта России Context triple: [Вышний Волочёк, hasPostalSystem, почта России]
-
A.
Yandex Mail
Yandex Mail is a free email service provided by Russian tech company Yandex, offering web-based and mobile access with features like spam protection, large storage, and integration with other Yandex services.
-
B.
Posta
Posta is a popular Turkish daily newspaper known for its mass-market appeal and wide circulation.
-
C.
Postau
Postau is a small municipality in Lower Bavaria, Germany, situated in the rural district of Landshut.
-
D.
Russian Post
chosen
Russian Post is the national postal operator of Russia, providing mail delivery, logistics, and financial services across the country and internationally.
-
E.
China Post
China Post is the state-owned postal service of the People's Republic of China, providing nationwide mail, logistics, and related financial 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa5c1f481908a9d8786872f08fe |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce7ecb488190b96f67cad4b91968 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:16 p.m.