Triple
T10659610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krasnogvardeyskaya |
E251188
|
entity |
| Predicate | hasConnection |
P8776
|
FINISHED |
| Object |
Zyablikovo
Zyablikovo is a station on the Moscow Metro, serving as a southern terminus and an important interchange point in the city’s transit network.
|
E877676
|
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: Zyablikovo | Statement: [Krasnogvardeyskaya, hasConnection, Zyablikovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zyablikovo Context triple: [Krasnogvardeyskaya, hasConnection, Zyablikovo]
-
A.
Zayukovo
Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
-
B.
Rybatskoye
Rybatskoye is a metro station in Saint Petersburg, Russia, serving as the eastern terminus of one of the city’s metro lines.
-
C.
Mikhaylovka
Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
-
D.
Shchyolkovo
Shchyolkovo is a town in western Russia that serves as a residential and industrial suburb of Moscow within Moscow Oblast.
-
E.
Dubrovitsy
Dubrovitsy is a historic rural locality in Moscow Oblast, Russia, known for its ornate baroque Church of the Theotokos of the Sign and its scenic setting near the city of Podolsk.
- 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: Zyablikovo Triple: [Krasnogvardeyskaya, hasConnection, Zyablikovo]
Generated description
Zyablikovo is a station on the Moscow Metro, serving as a southern terminus and an important interchange point in the city’s transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zyablikovo Target entity description: Zyablikovo is a station on the Moscow Metro, serving as a southern terminus and an important interchange point in the city’s transit network.
-
A.
Zayukovo
Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
-
B.
Rybatskoye
Rybatskoye is a metro station in Saint Petersburg, Russia, serving as the eastern terminus of one of the city’s metro lines.
-
C.
Mikhaylovka
Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
-
D.
Shchyolkovo
Shchyolkovo is a town in western Russia that serves as a residential and industrial suburb of Moscow within Moscow Oblast.
-
E.
Dubrovitsy
Dubrovitsy is a historic rural locality in Moscow Oblast, Russia, known for its ornate baroque Church of the Theotokos of the Sign and its scenic setting near the city of Podolsk.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e0174dc4819093e577993c65ed32 |
completed | April 8, 2026, 11:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a8375bc8190a79c09ba2626ce50 |
completed | April 10, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69d97e7330cc81908d7e35cbba5b5b0e |
completed | April 10, 2026, 10:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97ef8d90c81909a2bc3adbb1f05bf |
completed | April 10, 2026, 10:51 p.m. |
Created at: April 8, 2026, 9:07 p.m.