Triple
T8623843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gagarinsky District, Smolensk Oblast |
E204235
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Klushino
Klushino is a rural village in western Russia best known as the birthplace of cosmonaut Yuri Gagarin.
|
E792121
|
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: Klushino | Statement: [Gagarinsky District, Smolensk Oblast, contains, Klushino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klushino Context triple: [Gagarinsky District, Smolensk Oblast, contains, Klushino]
-
A.
Noginsk
Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
-
B.
Ivangorod
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
-
C.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
D.
Priozersk
Priozersk is a small town in northwestern Russia known for its historic fortress Korela and its location on the shores of Lake Ladoga.
-
E.
Zvenigorod
Zvenigorod is a historic town near Moscow, Russia, known for its ancient monasteries, traditional Russian architecture, and role as a cultural and spiritual center.
- 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: Klushino Triple: [Gagarinsky District, Smolensk Oblast, contains, Klushino]
Generated description
Klushino is a rural village in western Russia best known as the birthplace of cosmonaut Yuri Gagarin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klushino Target entity description: Klushino is a rural village in western Russia best known as the birthplace of cosmonaut Yuri Gagarin.
-
A.
Noginsk
Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
-
B.
Ivangorod
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
-
C.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
D.
Priozersk
Priozersk is a small town in northwestern Russia known for its historic fortress Korela and its location on the shores of Lake Ladoga.
-
E.
Zvenigorod
Zvenigorod is a historic town near Moscow, Russia, known for its ancient monasteries, traditional Russian architecture, and role as a cultural and spiritual center.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4728360c8190b5e600596cbced0c |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c696913c819089f29ec899d4ee61 |
completed | April 4, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_69d0c976a0308190ba66990fe0a3f33e |
completed | April 4, 2026, 8:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0ce28aaf48190a1e6b4040353c6b9 |
completed | April 4, 2026, 8:39 a.m. |
Created at: March 30, 2026, 6:26 p.m.