Triple
T3315961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primorsky Krai |
E69681
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Ussuriysk
Ussuriysk is a city in Russia’s Far East known as an important regional transport and economic center near the border with China.
|
E346595
|
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: Ussuriysk | Statement: [Primorsky Krai, containsCity, Ussuriysk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ussuriysk Context triple: [Primorsky Krai, containsCity, Ussuriysk]
-
A.
Tuvan
Tuvan is a Turkic language spoken primarily in the Tuva Republic of Russia, known for its rich oral traditions and association with Tuvan throat singing.
-
B.
Bashkir
Bashkir is a Turkic language spoken primarily by the Bashkir people in Russia’s Republic of Bashkortostan and surrounding regions.
-
C.
Kalmyk
Kalmyk refers to a Mongolic ethnic group primarily living in Russia’s Kalmykia region, known for being the only traditionally Buddhist people in Europe.
-
D.
Khakas
Khakas is a Turkic language spoken primarily by the Khakas people in the Republic of Khakassia in south-central Siberia, Russia.
-
E.
Udege language
The Udege language is a critically endangered Tungusic language spoken by the Udege people of the Russian Far East.
- 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: Ussuriysk Triple: [Primorsky Krai, containsCity, Ussuriysk]
Generated description
Ussuriysk is a city in Russia’s Far East known as an important regional transport and economic center near the border with China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ussuriysk Target entity description: Ussuriysk is a city in Russia’s Far East known as an important regional transport and economic center near the border with China.
-
A.
Tuvan
Tuvan is a Turkic language spoken primarily in the Tuva Republic of Russia, known for its rich oral traditions and association with Tuvan throat singing.
-
B.
Bashkir
Bashkir is a Turkic language spoken primarily by the Bashkir people in Russia’s Republic of Bashkortostan and surrounding regions.
-
C.
Kalmyk
Kalmyk refers to a Mongolic ethnic group primarily living in Russia’s Kalmykia region, known for being the only traditionally Buddhist people in Europe.
-
D.
Khakas
Khakas is a Turkic language spoken primarily by the Khakas people in the Republic of Khakassia in south-central Siberia, Russia.
-
E.
Udege language
The Udege language is a critically endangered Tungusic language spoken by the Udege people of the Russian Far East.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb110b28081909b366623e3b0783d |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3fa347481909432bd0178e7ea57 |
completed | March 12, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_69b2faf56ca08190b93486c07d94c08e |
completed | March 12, 2026, 5:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b312b902fc819081ec01c3d418fae0 |
completed | March 12, 2026, 7:23 p.m. |
Created at: March 8, 2026, 3:11 p.m.