Triple

T4933773
Position Surface form Disambiguated ID Type / Status
Subject Argun River E110759 entity
Predicate alsoKnownAs P39 FINISHED
Object Ergun River
The Ergun River is a major river in Northeast Asia that forms part of the border between China and Russia and is one of the headwaters of the Amur River.
E485465 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: Ergun River | Statement: [Argun River, alsoKnownAs, Ergun River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ergun River
Context triple: [Argun River, alsoKnownAs, Ergun River]
  • A. Ziya River
    The Ziya River is a major river in northern China that serves as one of the principal tributaries feeding into the Hai River system.
  • B. Keles River
    The Keles River is a Central Asian watercourse that flows through Kazakhstan and Uzbekistan before joining the Syr Darya.
  • C. Kilmez River
    The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
  • D. Tunca River
    The Tunca River is a tributary of the Maritsa (Meriç) River in the Balkans, flowing through Bulgaria and Turkey and passing by the historic city of Edirne.
  • E. Gediz River
    The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
  • 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: Ergun River
Triple: [Argun River, alsoKnownAs, Ergun River]
Generated description
The Ergun River is a major river in Northeast Asia that forms part of the border between China and Russia and is one of the headwaters of the Amur River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ergun River
Target entity description: The Ergun River is a major river in Northeast Asia that forms part of the border between China and Russia and is one of the headwaters of the Amur River.
  • A. Ziya River
    The Ziya River is a major river in northern China that serves as one of the principal tributaries feeding into the Hai River system.
  • B. Keles River
    The Keles River is a Central Asian watercourse that flows through Kazakhstan and Uzbekistan before joining the Syr Darya.
  • C. Kilmez River
    The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
  • D. Tunca River
    The Tunca River is a tributary of the Maritsa (Meriç) River in the Balkans, flowing through Bulgaria and Turkey and passing by the historic city of Edirne.
  • E. Gediz River
    The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7066ed548190a76a9559f90e3869 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89eb6cac8190b82bef41062fc8f1 completed March 21, 2026, 12:07 p.m.
NEDg Description generation batch_69be8e2f9ed48190b05b4cb4f173a501 completed March 21, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_69be8e7a52a081908910686229c42745 completed March 21, 2026, 12:26 p.m.
Created at: March 20, 2026, 1:30 p.m.