Triple
T1824857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domodedovo |
E40627
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object |
Ramenskoye
Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
|
E221644
|
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: Ramenskoye | Statement: [Domodedovo, hasNearbyCity, Ramenskoye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramenskoye Context triple: [Domodedovo, hasNearbyCity, Ramenskoye]
-
A.
Skovorodino
Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
-
B.
Pokrovskoye
Pokrovskoye is a rural Siberian village in Russia best known as the birthplace and early home of the mystic Grigori Rasputin.
-
C.
Astapovo
Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
-
D.
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.
-
E.
Mikhaylovka
Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd 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: Ramenskoye Triple: [Domodedovo, hasNearbyCity, Ramenskoye]
Generated description
Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ramenskoye Target entity description: Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
-
A.
Skovorodino
Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
-
B.
Pokrovskoye
Pokrovskoye is a rural Siberian village in Russia best known as the birthplace and early home of the mystic Grigori Rasputin.
-
C.
Astapovo
Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
-
D.
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.
-
E.
Mikhaylovka
Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0003d308190a024f8c03c5f5dad |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0307ffac8190a9d335a975e88e9e |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae0386785c8190ae74e5f04a4809fc |
completed | March 8, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae04253a80819092c112faddec1de1 |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 4, 2026, 7:32 p.m.