Triple
T4891017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nalchik |
E109559
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Nalchik railway station
Nalchik railway station is the main passenger rail terminal serving the city of Nalchik in Russia’s Kabardino-Balkaria region.
|
E476552
|
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: Nalchik railway station | Statement: [Nalchik, hasRailwayStation, Nalchik railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nalchik railway station Context triple: [Nalchik, hasRailwayStation, Nalchik railway station]
-
A.
Rumyantsevo station
Rumyantsevo station is a Moscow Metro station located on the Sokolnicheskaya Line, serving the Rumyantsevo area in southwest Moscow.
-
B.
Kazan-Passazhirskaya railway station
Kazan-Passazhirskaya railway station is the main passenger rail terminal in Kazan, Russia, serving as a key transport hub connecting the city with major destinations across the country.
-
C.
Grozny railway station
Grozny railway station is the main passenger rail terminal serving the city of Grozny, the capital of Russia’s Chechen Republic.
-
D.
Yelshanka station
Yelshanka station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
-
E.
Khimvolokno station
Khimvolokno station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
- 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: Nalchik railway station Triple: [Nalchik, hasRailwayStation, Nalchik railway station]
Generated description
Nalchik railway station is the main passenger rail terminal serving the city of Nalchik in Russia’s Kabardino-Balkaria region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nalchik railway station Target entity description: Nalchik railway station is the main passenger rail terminal serving the city of Nalchik in Russia’s Kabardino-Balkaria region.
-
A.
Rumyantsevo station
Rumyantsevo station is a Moscow Metro station located on the Sokolnicheskaya Line, serving the Rumyantsevo area in southwest Moscow.
-
B.
Kazan-Passazhirskaya railway station
Kazan-Passazhirskaya railway station is the main passenger rail terminal in Kazan, Russia, serving as a key transport hub connecting the city with major destinations across the country.
-
C.
Grozny railway station
Grozny railway station is the main passenger rail terminal serving the city of Grozny, the capital of Russia’s Chechen Republic.
-
D.
Yelshanka station
Yelshanka station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
-
E.
Khimvolokno station
Khimvolokno station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e07ca10819083f80f12374544b1 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be681a3d7881908120dc642af3f58a |
completed | March 21, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69be6892c02481908dc64c7e84aac3b2 |
completed | March 21, 2026, 9:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be695116788190903fbd5e375bd31d |
completed | March 21, 2026, 9:48 a.m. |
Created at: March 20, 2026, 1:28 p.m.