Triple

T37065532
Position Surface form Disambiguated ID Type / Status
Subject Ket language E917430 entity
Predicate hasAlternativeName P39 FINISHED
Object Yenisei Ostyak
Yenisei Ostyak is an alternative name for the Ket language, a critically endangered language isolate spoken by a small indigenous community along the Yenisei River in central Siberia.
E2211076 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: Yenisei Ostyak | Statement: [Ket language, hasAlternativeName, Yenisei Ostyak]
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: Yenisei Ostyak
Triple: [Ket language, hasAlternativeName, Yenisei Ostyak]
Generated description
Yenisei Ostyak is an alternative name for the Ket language, a critically endangered language isolate spoken by a small indigenous community along the Yenisei River in central Siberia.

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_69f76e95fa40819091e14681087ae5e4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2f8f9b708190aa4429b14c142338 completed May 6, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e8c58f82481908cc1f83258fc3526 completed June 26, 2026, 2:27 p.m.
NEDg Description generation batch_6a3e9daef2488190861e1a9ef88da7ff completed June 26, 2026, 3:41 p.m.
NED2 Entity disambiguation (via description) batch_6a3eabd4f2548190a4a111700635eb7a completed June 26, 2026, 4:41 p.m.
Created at: May 3, 2026, 4:14 p.m.