Triple
T13155234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaluzhsko–Rizhskaya Line |
E312566
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Medvedkovo
Medvedkovo is a Moscow Metro station serving as the northeastern terminus of the Kaluzhsko–Rizhskaya Line.
|
E1037070
|
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: Medvedkovo | Statement: [Kaluzhsko–Rizhskaya Line, hasStation, Medvedkovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medvedkovo Context triple: [Kaluzhsko–Rizhskaya Line, hasStation, Medvedkovo]
-
A.
Novogireyevo
Novogireyevo is a Moscow Metro station serving the Novogireyevo District in the eastern part of Moscow, Russia.
-
B.
Zelenograd
Zelenograd is a district of Moscow, Russia, known as a major center for electronics, microelectronics, and high-tech industry, often referred to as Russia’s "Silicon Valley."
-
C.
Zelenogradsk
Zelenogradsk is a coastal resort town in Russia’s Kaliningrad Oblast on the Baltic Sea, known for its beaches, historic architecture, and proximity to the Curonian Spit.
-
D.
Krylatskoye
Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
-
E.
Troparevo
Troparevo is a Moscow Metro station serving the southwestern part of the city in the Troparevo-Nikulino District.
- 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: Medvedkovo Triple: [Kaluzhsko–Rizhskaya Line, hasStation, Medvedkovo]
Generated description
Medvedkovo is a Moscow Metro station serving as the northeastern terminus of the Kaluzhsko–Rizhskaya Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Medvedkovo Target entity description: Medvedkovo is a Moscow Metro station serving as the northeastern terminus of the Kaluzhsko–Rizhskaya Line.
-
A.
Novogireyevo
Novogireyevo is a Moscow Metro station serving the Novogireyevo District in the eastern part of Moscow, Russia.
-
B.
Zelenograd
Zelenograd is a district of Moscow, Russia, known as a major center for electronics, microelectronics, and high-tech industry, often referred to as Russia’s "Silicon Valley."
-
C.
Zelenogradsk
Zelenogradsk is a coastal resort town in Russia’s Kaliningrad Oblast on the Baltic Sea, known for its beaches, historic architecture, and proximity to the Curonian Spit.
-
D.
Krylatskoye
Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
-
E.
Troparevo
Troparevo is a Moscow Metro station serving the southwestern part of the city in the Troparevo-Nikulino District.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c06ccb881909390df18e1a6f7ed |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72660f8d48190b437a57f2a75f6ae |
completed | May 3, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f7272115f4819092e4fa0fd7f130b5 |
completed | May 3, 2026, 10:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72992483c8190873ba7050ad9e6fa |
completed | May 3, 2026, 10:55 a.m. |
Created at: April 9, 2026, 9:12 p.m.