Triple

T10016036
Position Surface form Disambiguated ID Type / Status
Subject Amgun River E199495 entity
Predicate hasNameInRussian P20560 FINISHED
Object Амгунь
Амгунь — река на Дальнем Востоке России, протекающая по Хабаровскому краю и являющаяся одним из крупных притоков Амура.
 E835092 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: Амгунь | Statement: [Amgun River, hasNameInRussian, Амгунь]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Амгунь
Context triple: [Amgun River, hasNameInRussian, Амгунь]
  • A. Khorol
    Khorol is a town in central Ukraine historically situated within the former Poltava Governorate of the Russian Empire.
  • B. Demchugdongrub
    Demchugdongrub was a Mongol prince and political leader who headed the Japanese puppet state of Mengjiang in Inner Mongolia during the Second Sino-Japanese War.
  • C. Tsalxhaan
    Tsalxhaan is the Tlingit name for Mount Fairweather, a prominent glaciated peak in the Fairweather Range of the Saint Elias Mountains on the Alaska–British Columbia border.
  • D. Zamyn-Üüd
    Zamyn-Üüd is a key Mongolian border town and railway hub on the frontier with China, serving as a major gateway for trade and transit between the two countries.
  • E. Selenge
    Selenge is a northern Mongolian province (aimag) known for its agricultural lands and strategic location along the border with Russia.
  • 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: Амгунь
Triple: [Amgun River, hasNameInRussian, Амгунь]
Generated description
Амгунь — река на Дальнем Востоке России, протекающая по Хабаровскому краю и являющаяся одним из крупных притоков Амура.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Амгунь
Target entity description: Амгунь — река на Дальнем Востоке России, протекающая по Хабаровскому краю и являющаяся одним из крупных притоков Амура.
  • A. Khorol
    Khorol is a town in central Ukraine historically situated within the former Poltava Governorate of the Russian Empire.
  • B. Demchugdongrub
    Demchugdongrub was a Mongol prince and political leader who headed the Japanese puppet state of Mengjiang in Inner Mongolia during the Second Sino-Japanese War.
  • C. Tsalxhaan
    Tsalxhaan is the Tlingit name for Mount Fairweather, a prominent glaciated peak in the Fairweather Range of the Saint Elias Mountains on the Alaska–British Columbia border.
  • D. Zamyn-Üüd
    Zamyn-Üüd is a key Mongolian border town and railway hub on the frontier with China, serving as a major gateway for trade and transit between the two countries.
  • E. Selenge
    Selenge is a northern Mongolian province (aimag) known for its agricultural lands and strategic location along the border with Russia.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4ad3348190bae03cd37c787674 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a99971081908397f06c0ce913d0 completed April 5, 2026, 1:58 p.m.
NEDg Description generation batch_69d26c20f50081909a8a3b4530dc5fc0 completed April 5, 2026, 2:05 p.m.
NED2 Entity disambiguation (via description) batch_69d26caee48481909d085b8df7ce14ab completed April 5, 2026, 2:07 p.m.
Created at: March 30, 2026, 8:52 p.m.