Triple

T17522965
Position Surface form Disambiguated ID Type / Status
Subject Ket River E426720 entity
Predicate hasTributary P415 FINISHED
Object Bolsaya Ket River
The Bolsaya Ket River is a Siberian waterway that serves as a significant tributary within the Ket River basin in Russia.
 E1830720 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: Bolsaya Ket River | Statement: [Ket River, hasTributary, Bolsaya Ket River]
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: Bolsaya Ket River
Triple: [Ket River, hasTributary, Bolsaya Ket River]
Generated description
The Bolsaya Ket River is a Siberian waterway that serves as a significant tributary within the Ket River basin in Russia.

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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d40ee08190b79d8e3d7f1b1272 completed April 19, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf054c1481908fb39844c895112a completed June 1, 2026, 12:15 a.m.
NEDg Description generation batch_6a1cd020780c81908d33cd9d1676a762 completed June 1, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a2494722c7c8190b67b87014e4a2f0a completed June 6, 2026, 9:43 p.m.
Created at: April 10, 2026, 5:49 a.m.