Triple
T2595815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaroslavl Oblast |
E58227
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
city of Uglich
The city of Uglich is a historic town in Russia known for its medieval architecture and its role in the events surrounding the death of Tsarevich Dmitry, a key episode in Russian history.
|
E283891
|
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: city of Uglich | Statement: [Yaroslavl Oblast, contains, city of Uglich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Uglich Context triple: [Yaroslavl Oblast, contains, city of Uglich]
-
A.
Ulyanov
Ulyanov is the Russian surname of Vladimir Lenin, the revolutionary leader and founder of the Soviet state.
-
B.
Kirovsk
Kirovsk is a small industrial town in northwestern Russia, situated near Saint Petersburg along the Neva River.
-
C.
Kirovsk
Kirovsk is an industrial town in Russia’s Murmansk Oblast, known for its mining industry and location in the Khibiny Mountains on the Kola Peninsula.
-
D.
Kamyshin
Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
-
E.
Ryazan
Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
- 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: city of Uglich Triple: [Yaroslavl Oblast, contains, city of Uglich]
Generated description
The city of Uglich is a historic town in Russia known for its medieval architecture and its role in the events surrounding the death of Tsarevich Dmitry, a key episode in Russian history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: city of Uglich Target entity description: The city of Uglich is a historic town in Russia known for its medieval architecture and its role in the events surrounding the death of Tsarevich Dmitry, a key episode in Russian history.
-
A.
Ulyanov
Ulyanov is the Russian surname of Vladimir Lenin, the revolutionary leader and founder of the Soviet state.
-
B.
Kirovsk
Kirovsk is an industrial town in Russia’s Murmansk Oblast, known for its mining industry and location in the Khibiny Mountains on the Kola Peninsula.
-
C.
Kirovsk
Kirovsk is a small industrial town in northwestern Russia, situated near Saint Petersburg along the Neva River.
-
D.
Kamyshin
Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
-
E.
Ryazan
Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42978f881909f217e7ec9ac3144 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af907835188190914a241e8bdf0d4f |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af90f63dac8190b3282b5029d22fab |
completed | March 10, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af918e7b50819082f37f9cdb3271a2 |
completed | March 10, 2026, 3:35 a.m. |
Created at: March 6, 2026, 9:49 p.m.