Triple

T17168424
Position Surface form Disambiguated ID Type / Status
Subject Lak language E416665 entity
Predicate hasDialects P4251 FINISHED
Object Vitskhi dialect
The Vitskhi dialect is a regional variety of the Lak language spoken by the Lak people of Dagestan in the North Caucasus.
 E1253886 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: Vitskhi dialect | Statement: [Lak language, hasDialects, Vitskhi dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vitskhi dialect
Context triple: [Lak language, hasDialects, Vitskhi dialect]
  • A. Sagaysky dialect
    The Sagaysky dialect is a regional variety of the Khakas language spoken by the Sagay subgroup of the Khakas people in Siberia.
  • B. Kachinsky dialect
    The Kachinsky dialect is a regional variety of the Khakas language spoken by Khakas communities in parts of Siberia.
  • C. Babolki dialect
    The Babolki dialect is a regional variety of the Mazanderani language traditionally spoken around the city of Babol in northern Iran.
  • D. Aknogai dialect
    The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
  • E. Lutsi dialect
    The Lutsi dialect is an extinct variety of South Estonian once spoken by a small Estonian-speaking community in eastern Latvia.
  • 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: Vitskhi dialect
Triple: [Lak language, hasDialects, Vitskhi dialect]
Generated description
The Vitskhi dialect is a regional variety of the Lak language spoken by the Lak people of Dagestan in the North Caucasus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vitskhi dialect
Target entity description: The Vitskhi dialect is a regional variety of the Lak language spoken by the Lak people of Dagestan in the North Caucasus.
  • A. Sagaysky dialect
    The Sagaysky dialect is a regional variety of the Khakas language spoken by the Sagay subgroup of the Khakas people in Siberia.
  • B. Kachinsky dialect
    The Kachinsky dialect is a regional variety of the Khakas language spoken by Khakas communities in parts of Siberia.
  • C. Babolki dialect
    The Babolki dialect is a regional variety of the Mazanderani language traditionally spoken around the city of Babol in northern Iran.
  • D. Aknogai dialect
    The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
  • E. Lutsi dialect
    The Lutsi dialect is an extinct variety of South Estonian once spoken by a small Estonian-speaking community in eastern Latvia.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f9173ee48190bc46622c78479603 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483d754c819089607cfc87d08d42 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014964b0d88190a37fa6be0c837630 completed May 11, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_6a014a20bb2c8190bbae3009783efc00 completed May 11, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:37 a.m.