Triple
T12578241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troparevo-Nikulino District |
E300264
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object |
Troparevo
Troparevo is a Moscow Metro station serving the southwestern part of the city in the Troparevo-Nikulino District.
|
E1022229
|
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: Troparevo | Statement: [Troparevo-Nikulino District, hasMetroStation, Troparevo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troparevo Context triple: [Troparevo-Nikulino District, hasMetroStation, Troparevo]
-
A.
Romashkovo
Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
-
B.
Pirogovo
Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
-
C.
Novo-Ogaryovo
Novo-Ogaryovo is a suburban governmental estate outside Moscow that serves as one of the primary official residences of Russian President Vladimir Putin.
-
D.
Astapovo
Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
-
E.
Klushino
Klushino is a rural village in western Russia best known as the birthplace of cosmonaut Yuri Gagarin.
- 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: Troparevo Triple: [Troparevo-Nikulino District, hasMetroStation, Troparevo]
Generated description
Troparevo is a Moscow Metro station serving the southwestern part of the city in the Troparevo-Nikulino District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Troparevo Target entity description: Troparevo is a Moscow Metro station serving the southwestern part of the city in the Troparevo-Nikulino District.
-
A.
Romashkovo
Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
-
B.
Pirogovo
Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
-
C.
Novo-Ogaryovo
Novo-Ogaryovo is a suburban governmental estate outside Moscow that serves as one of the primary official residences of Russian President Vladimir Putin.
-
D.
Astapovo
Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
-
E.
Klushino
Klushino is a rural village in western Russia best known as the birthplace of cosmonaut Yuri Gagarin.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a73c148190bba8f16b1232fd46 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e2588b448190b5dc5a5d37fd1897 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e3fc6524819081fec59d7e31c816 |
completed | May 3, 2026, 5:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e47b052c8190a6f6ca5a6bd210f5 |
completed | May 3, 2026, 6 a.m. |
Created at: April 9, 2026, 4:55 p.m.