Triple

T33924158
Position Surface form Disambiguated ID Type / Status
Subject Onon River basin E869702 entity
Predicate partOf P40 FINISHED
Object Onon–Shilka–Amur river system
The Onon–Shilka–Amur river system is a major transboundary river network in East Asia that ultimately drains into the Pacific Ocean and forms much of the border between Russia and China.
 E2076442 NE FINISHED

How this triple was built (2 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: Onon–Shilka–Amur river system | Statement: [Onon River basin, partOf, Onon–Shilka–Amur river system]
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: Onon–Shilka–Amur river system
Triple: [Onon River basin, partOf, Onon–Shilka–Amur river system]
Generated description
The Onon–Shilka–Amur river system is a major transboundary river network in East Asia that ultimately drains into the Pacific Ocean and forms much of the border between Russia and China.

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_69f349992c508190aa4afa24a086cc8c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f701f03ffc8190b39e191e44730d24 completed May 3, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3692ceb5d48190acaf661d0dcff311 completed June 20, 2026, 1:17 p.m.
NEDg Description generation batch_6a3693820ad081909280cf562695e90f completed June 20, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_6a36941c84ac8190ab0f8f338320ceec completed June 20, 2026, 1:22 p.m.
Created at: May 1, 2026, 1:49 a.m.