Triple

T26668619
Position Surface form Disambiguated ID Type / Status
Subject Mama River E672257 entity
Predicate partOf P40 FINISHED
Object Vitim River basin
The Vitim River basin is a vast Siberian drainage area in eastern Russia that encompasses numerous tributaries and supports remote taiga ecosystems before feeding into the Lena River system.
 E1747660 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: Vitim River basin | Statement: [Mama River, partOf, Vitim River basin]
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: Vitim River basin
Triple: [Mama River, partOf, Vitim River basin]
Generated description
The Vitim River basin is a vast Siberian drainage area in eastern Russia that encompasses numerous tributaries and supports remote taiga ecosystems before feeding into the Lena River system.

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_69eecda00a9c8190b2691f4d89db03b6 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f616c618a4819092f858efa88c9a9d completed May 2, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121e7eefe08190a364b22d92126454 completed May 23, 2026, 9:39 p.m.
NEDg Description generation batch_6a121f3c0dfc81908768b2670cb24b20 completed May 23, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_6a12203ee42c8190be6d4c4d9f0ec859 completed May 23, 2026, 9:46 p.m.
Created at: April 27, 2026, 3:11 a.m.