Triple
T13129759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyborgsky District |
E311936
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object |
Lesnaya
Lesnaya is a metro station in Saint Petersburg, Russia, serving the Vyborgsky District on the city's rapid transit network.
|
E1044270
|
NE FINISHED |
How this triple was built (4 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: Lesnaya | Statement: [Vyborgsky District, hasMetroStation, Lesnaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lesnaya Context triple: [Vyborgsky District, hasMetroStation, Lesnaya]
-
A.
Lesnaya
Lesnaya is a village in present-day Belarus historically notable as the site of the 1708 Battle of Lesnaya during the Great Northern War.
-
B.
Lesnoy Gorodok
Lesnoy Gorodok is a suburban settlement in the Moscow region of Russia, known primarily as a residential community within the greater Moscow metropolitan area.
-
C.
Lesnoy
Lesnoy is a closed town in Russia’s Sverdlovsk Oblast known for its role in the country’s nuclear and defense industries.
-
D.
Lesnoy
Lesnoy is a rural settlement located within the Vyborgsky District of Leningrad Oblast in northwestern Russia.
-
E.
Yartsevo
Yartsevo is a town in western Russia known as an industrial center within Smolensk Oblast.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lesnaya Triple: [Vyborgsky District, hasMetroStation, Lesnaya]
Generated description
Lesnaya is a metro station in Saint Petersburg, Russia, serving the Vyborgsky District on the city's rapid transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lesnaya Target entity description: Lesnaya is a metro station in Saint Petersburg, Russia, serving the Vyborgsky District on the city's rapid transit network.
-
A.
Lesnaya
Lesnaya is a village in present-day Belarus historically notable as the site of the 1708 Battle of Lesnaya during the Great Northern War.
-
B.
Lesnoy Gorodok
Lesnoy Gorodok is a suburban settlement in the Moscow region of Russia, known primarily as a residential community within the greater Moscow metropolitan area.
-
C.
Lesnoy
Lesnoy is a closed town in Russia’s Sverdlovsk Oblast known for its role in the country’s nuclear and defense industries.
-
D.
Lesnoy
Lesnoy is a rural settlement located within the Vyborgsky District of Leningrad Oblast in northwestern Russia.
-
E.
Yartsevo
Yartsevo is a town in western Russia known as an industrial center within Smolensk Oblast.
- F. None of above. chosen
Provenance (5 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819bfd348190a22d44f837877e1c |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7546b9ae081909f97fc4a06b8f927 |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f756902b0481909085473ab48c39db |
completed | May 3, 2026, 2:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f756ebe5788190acc56b8c92a4bf0a |
completed | May 3, 2026, 2:08 p.m. |
Created at: April 9, 2026, 9:07 p.m.