Triple

T24309948
Position Surface form Disambiguated ID Type / Status
Subject Samoyedic peoples E612643 entity
Predicate ethnicallyRelatedTo P1969 FINISHED
Object Permic peoples
The Permic peoples are a group of Uralic-speaking ethnic groups native to the western Ural region of Russia, including the Komi and Udmurt, with distinct languages and cultural traditions.
E1164086 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: Permic peoples | Statement: [Samoyedic peoples, ethnicallyRelatedTo, Permic peoples]
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: Permic peoples
Triple: [Samoyedic peoples, ethnicallyRelatedTo, Permic peoples]
Generated description
The Permic peoples are a group of Uralic-speaking ethnic groups native to the western Ural region of Russia, including the Komi and Udmurt, with distinct languages and cultural traditions.

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_69e2d7d91bb48190bc5377d17a85fb21 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29229af3c8190950b70fe5a8dbf6f completed April 29, 2026, 11:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd6526c5881908cc682db21bf545c completed May 22, 2026, 4:06 a.m.
NEDg Description generation batch_6a0fd757847081909f0c5e77d4dd97c7 completed May 22, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd87ea3648190923d6f14c978f461 completed May 22, 2026, 4:15 a.m.
Created at: April 18, 2026, 1:33 a.m.