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.