Triple
T20737116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obluchensky District |
E509739
|
entity |
| Predicate | hasUrbanTypeSettlement |
P40854
|
FINISHED |
| Object |
Teploozyorsk
Teploozyorsk is an urban-type settlement in the Jewish Autonomous Oblast of Russia, known for its small industrial and residential community.
|
E1448529
|
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: Teploozyorsk | Statement: [Obluchensky District, hasUrbanTypeSettlement, Teploozyorsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teploozyorsk Context triple: [Obluchensky District, hasUrbanTypeSettlement, Teploozyorsk]
-
A.
Nevelsk
Nevelsk is a small port town on the southwest coast of Sakhalin Island in Russia, facing the Sea of Japan.
-
B.
Vorkuta
Vorkuta is a remote Arctic city in Russia historically known as one of the largest centers of the Soviet Gulag labor camp system.
-
C.
Kireyevsk
Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
-
D.
Degtyarsk
Degtyarsk is a small industrial town in Russia’s Sverdlovsk Oblast, historically known for its mining activities.
-
E.
Tobolsk
Tobolsk is a historic Siberian town in Russia known for its Kremlin and as a place of exile and imprisonment during the late imperial period.
- 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: Teploozyorsk Triple: [Obluchensky District, hasUrbanTypeSettlement, Teploozyorsk]
Generated description
Teploozyorsk is an urban-type settlement in the Jewish Autonomous Oblast of Russia, known for its small industrial and residential community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teploozyorsk Target entity description: Teploozyorsk is an urban-type settlement in the Jewish Autonomous Oblast of Russia, known for its small industrial and residential community.
-
A.
Nevelsk
Nevelsk is a small port town on the southwest coast of Sakhalin Island in Russia, facing the Sea of Japan.
-
B.
Vorkuta
Vorkuta is a remote Arctic city in Russia historically known as one of the largest centers of the Soviet Gulag labor camp system.
-
C.
Kireyevsk
Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
-
D.
Degtyarsk
Degtyarsk is a small industrial town in Russia’s Sverdlovsk Oblast, historically known for its mining activities.
-
E.
Tobolsk
Tobolsk is a historic Siberian town in Russia known for its Kremlin and as a place of exile and imprisonment during the late imperial period.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20ac6e881908524be890be699e7 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e8378f988190916d497b136ffcf1 |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08e8fc1d6c819083f06debaa3bec24 |
completed | May 16, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e98a594c8190b3a2d9ae7e3af4f7 |
completed | May 16, 2026, 10:02 p.m. |
Created at: April 16, 2026, 12:32 p.m.