Triple

T19406132
Position Surface form Disambiguated ID Type / Status
Subject Ergun River E485465 entity
Predicate languageVariantName P20733 FINISHED
Object Аргунь
Аргунь — река в Восточной Азии, образующая часть границы между Россией и Китаем и являющаяся одним из истоков Амура.
 E1374245 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: Аргунь | Statement: [Ergun River, languageVariantName, Аргунь]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Аргунь
Context triple: [Ergun River, languageVariantName, Аргунь]
  • A. Амгунь
    Амгунь — река на Дальнем Востоке России, протекающая по Хабаровскому краю и являющаяся одним из крупных притоков Амура.
  • B. Tsaagan
    Tsaagan is a genus of small, carnivorous dromaeosaurid theropod dinosaur known from Late Cretaceous deposits of Mongolia.
  • C. Toghrïl
    Toghrïl was a prominent 11th-century Seljuk leader and sultan who played a key role in establishing Seljuk dominance in the Islamic world.
  • D. Bulganin
    Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
  • E. Urga
    Urga is the historical name of Mongolia’s capital city, now known as Ulaanbaatar.
  • 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: Аргунь
Triple: [Ergun River, languageVariantName, Аргунь]
Generated description
Аргунь — река в Восточной Азии, образующая часть границы между Россией и Китаем и являющаяся одним из истоков Амура.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Аргунь
Target entity description: Аргунь — река в Восточной Азии, образующая часть границы между Россией и Китаем и являющаяся одним из истоков Амура.
  • A. Амгунь
    Амгунь — река на Дальнем Востоке России, протекающая по Хабаровскому краю и являющаяся одним из крупных притоков Амура.
  • B. Tsaagan
    Tsaagan is a genus of small, carnivorous dromaeosaurid theropod dinosaur known from Late Cretaceous deposits of Mongolia.
  • C. Toghrïl
    Toghrïl was a prominent 11th-century Seljuk leader and sultan who played a key role in establishing Seljuk dominance in the Islamic world.
  • D. Bulganin
    Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
  • E. Urga
    Urga is the historical name of Mongolia’s capital city, now known as Ulaanbaatar.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257af68881908147beedc29ff64c completed April 20, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072b95775481909a2d2c84ed8dac87 completed May 15, 2026, 2:20 p.m.
NEDg Description generation batch_6a072ed99d608190ab6515517cac95dc completed May 15, 2026, 2:34 p.m.
NED2 Entity disambiguation (via description) batch_6a072f5364648190954997b4da8248ef completed May 15, 2026, 2:36 p.m.
Created at: April 10, 2026, 1:36 p.m.