Triple
T17003578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leningradsky suburban direction |
E412509
|
entity |
| Predicate | hasTerminusOrMajorStop |
P34947
|
FINISHED |
| Object |
Kryukovo
Kryukovo is a railway station and suburban district in Zelenograd, Moscow, serving as a key commuter hub on the Leningradsky suburban rail line.
|
E1257960
|
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: Kryukovo | Statement: [Leningradsky suburban direction, hasTerminusOrMajorStop, Kryukovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kryukovo Context triple: [Leningradsky suburban direction, hasTerminusOrMajorStop, Kryukovo]
-
A.
Kastornoye
Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
-
B.
Belyaninovo
Belyaninovo is a rural locality in Russia, situated within the Mytishchinsky District of Moscow Oblast.
-
C.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
D.
Korukivka
Korukivka is a small city in northern Ukraine known for its location within the Chernihiv region and its historical significance, including tragic events during World War II.
-
E.
Krasnoturyinsk
Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
- 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: Kryukovo Triple: [Leningradsky suburban direction, hasTerminusOrMajorStop, Kryukovo]
Generated description
Kryukovo is a railway station and suburban district in Zelenograd, Moscow, serving as a key commuter hub on the Leningradsky suburban rail line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kryukovo Target entity description: Kryukovo is a railway station and suburban district in Zelenograd, Moscow, serving as a key commuter hub on the Leningradsky suburban rail line.
-
A.
Kastornoye
Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
-
B.
Belyaninovo
Belyaninovo is a rural locality in Russia, situated within the Mytishchinsky District of Moscow Oblast.
-
C.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
D.
Korukivka
Korukivka is a small city in northern Ukraine known for its location within the Chernihiv region and its historical significance, including tragic events during World War II.
-
E.
Krasnoturyinsk
Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d380f968819097b59e7bac333ea4 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01673e1be08190b39c38fd8115a02c |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0168a45fc881908540d142db1ed1e9 |
completed | May 11, 2026, 5:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01692c44c881908cd986ad6cf10596 |
completed | May 11, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:32 a.m.