Triple
T14758308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pushkinsky District |
E346788
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Alexandrovskaya
Alexandrovskaya is a suburban locality within the Pushkinsky District of Saint Petersburg, Russia, known primarily as a residential settlement.
|
E1118524
|
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: Alexandrovskaya | Statement: [Pushkinsky District, contains, Alexandrovskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandrovskaya Context triple: [Pushkinsky District, contains, Alexandrovskaya]
-
A.
Kaluzhskaya
Kaluzhskaya is a Moscow Metro station on the Kaluzhsko–Rizhskaya line, serving the southwestern part of the city.
-
B.
Rubtsovsk
Rubtsovsk is an industrial city in Altai Krai, Russia, known as the birthplace of Raisa Gorbacheva and for its role as a regional agricultural and machinery center.
-
C.
Gorkovskaya
Gorkovskaya was the former name of Moscow’s central Tverskaya metro station, reflecting its Soviet-era designation.
-
D.
Kantemirovskaya
Kantemirovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the southern part of the city.
-
E.
Sovkino
Sovkino was a Soviet state film production and distribution company active in the 1920s, instrumental in developing early Soviet cinema and promoting revolutionary propaganda films.
- 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: Alexandrovskaya Triple: [Pushkinsky District, contains, Alexandrovskaya]
Generated description
Alexandrovskaya is a suburban locality within the Pushkinsky District of Saint Petersburg, Russia, known primarily as a residential settlement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alexandrovskaya Target entity description: Alexandrovskaya is a suburban locality within the Pushkinsky District of Saint Petersburg, Russia, known primarily as a residential settlement.
-
A.
Kaluzhskaya
Kaluzhskaya is a Moscow Metro station on the Kaluzhsko–Rizhskaya line, serving the southwestern part of the city.
-
B.
Rubtsovsk
Rubtsovsk is an industrial city in Altai Krai, Russia, known as the birthplace of Raisa Gorbacheva and for its role as a regional agricultural and machinery center.
-
C.
Gorkovskaya
Gorkovskaya was the former name of Moscow’s central Tverskaya metro station, reflecting its Soviet-era designation.
-
D.
Kantemirovskaya
Kantemirovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the southern part of the city.
-
E.
Sovkino
Sovkino was a Soviet state film production and distribution company active in the 1920s, instrumental in developing early Soviet cinema and promoting revolutionary propaganda films.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ced0e2c8190a13e3b43e4d35560 |
completed | May 8, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69fe15f78180819088c7be010ef27029 |
completed | May 8, 2026, 4:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe165c1f188190963f9b78272f41f7 |
completed | May 8, 2026, 4:59 p.m. |
Created at: April 10, 2026, 1:30 a.m.