Triple

T12658152
Position Surface form Disambiguated ID Type / Status
Subject Even language E302342 entity
Predicate hasDialects P4251 FINISHED
Object Oliutor dialect
The Oliutor dialect is a regional variety of the Even language traditionally spoken by Even communities in the Oliutor area of northeastern Siberia.
 E995971 NE FINISHED

How this triple was built (4 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: Oliutor dialect | Statement: [Even language, hasDialects, Oliutor dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oliutor dialect
Context triple: [Even language, hasDialects, Oliutor dialect]
  • A. Lutsi dialect
    The Lutsi dialect is an extinct variety of South Estonian once spoken by a small Estonian-speaking community in eastern Latvia.
  • B. Turu dialect
    Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central Nigeria.
  • C. Doabi dialect
    The Doabi dialect is a regional variety of Punjabi traditionally spoken in the Doaba region of the Indian state of Punjab, between the Beas and Sutlej rivers.
  • D. Malgavet dialect
    The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
  • E. Vegliot dialect
    The Vegliot dialect is an extinct variety of the Dalmatian Romance language once spoken on the island of Krk (Veglia) in the Adriatic Sea.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Oliutor dialect
Triple: [Even language, hasDialects, Oliutor dialect]
Generated description
The Oliutor dialect is a regional variety of the Even language traditionally spoken by Even communities in the Oliutor area of northeastern Siberia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oliutor dialect
Target entity description: The Oliutor dialect is a regional variety of the Even language traditionally spoken by Even communities in the Oliutor area of northeastern Siberia.
  • A. Lutsi dialect
    The Lutsi dialect is an extinct variety of South Estonian once spoken by a small Estonian-speaking community in eastern Latvia.
  • B. Turu dialect
    Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central Nigeria.
  • C. Doabi dialect
    The Doabi dialect is a regional variety of Punjabi traditionally spoken in the Doaba region of the Indian state of Punjab, between the Beas and Sutlej rivers.
  • D. Malgavet dialect
    The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
  • E. Vegliot dialect
    The Vegliot dialect is an extinct variety of the Dalmatian Romance language once spoken on the island of Krk (Veglia) in the Adriatic Sea.
  • F. None of above. chosen

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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961636db8819099c438b24bcfd866 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66885e44c8190a650301b0e86d0f4 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f66a602f088190984fa3381b5be944 completed May 2, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69f66b18e68881908bf79ab52bcc909e completed May 2, 2026, 9:22 p.m.
Created at: April 9, 2026, 5:19 p.m.