Triple
T17948557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Petersburg suburban railways |
E448767
|
entity |
| Predicate | hasDirection |
P1101
|
FINISHED |
| Object |
Irino (Ladozhsky) direction
Irino (Ladozhsky) direction is a suburban railway line radiating from Saint Petersburg’s Ladozhsky railway station toward the Irino area, serving commuter traffic in that corridor.
|
E1297574
|
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: Irino (Ladozhsky) direction | Statement: [Saint Petersburg suburban railways, hasDirection, Irino (Ladozhsky) direction]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irino (Ladozhsky) direction Context triple: [Saint Petersburg suburban railways, hasDirection, Irino (Ladozhsky) direction]
-
A.
Vorontsovskaya
Vorontsovskaya is a metro station on Moscow’s Big Circle Line serving the southwestern part of the city.
-
B.
Kutuzovskaya
Kutuzovskaya is a Moscow Metro station serving the Kutuzovsky Prospekt area in western Moscow.
-
C.
Semyonovskaya
Semyonovskaya is a station on the Moscow Metro, serving the Sokolnicheskaya Line in the eastern part of Moscow.
-
D.
Petrovskaya
Petrovskaya is a Russian feminine surname derived from the masculine form Petrovsky.
-
E.
Chertanovskaya
Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
- 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: Irino (Ladozhsky) direction Triple: [Saint Petersburg suburban railways, hasDirection, Irino (Ladozhsky) direction]
Generated description
Irino (Ladozhsky) direction is a suburban railway line radiating from Saint Petersburg’s Ladozhsky railway station toward the Irino area, serving commuter traffic in that corridor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Irino (Ladozhsky) direction Target entity description: Irino (Ladozhsky) direction is a suburban railway line radiating from Saint Petersburg’s Ladozhsky railway station toward the Irino area, serving commuter traffic in that corridor.
-
A.
Vorontsovskaya
Vorontsovskaya is a metro station on Moscow’s Big Circle Line serving the southwestern part of the city.
-
B.
Kutuzovskaya
Kutuzovskaya is a Moscow Metro station serving the Kutuzovsky Prospekt area in western Moscow.
-
C.
Semyonovskaya
Semyonovskaya is a station on the Moscow Metro, serving the Sokolnicheskaya Line in the eastern part of Moscow.
-
D.
Petrovskaya
Petrovskaya is a Russian feminine surname derived from the masculine form Petrovsky.
-
E.
Chertanovskaya
Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afaac780819097434b20b1f155d2 |
completed | April 19, 2026, 10:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03291c5e008190981dfef6aad81054 |
completed | May 12, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_6a032ae7f4808190ade6b20198aadcba |
completed | May 12, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032b6033b48190b889bd4d98a58ea2 |
completed | May 12, 2026, 1:30 p.m. |
Created at: April 10, 2026, 10:21 a.m.