Triple

T17168326
Position Surface form Disambiguated ID Type / Status
Subject Rutul language E416663 entity
Predicate hasDialect P4251 FINISHED
Object Mukhad dialect
The Mukhad dialect is a regional variety of the Rutul language spoken by Rutul communities in the Caucasus.
 E1253882 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: Mukhad dialect | Statement: [Rutul language, hasDialect, Mukhad dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mukhad dialect
Context triple: [Rutul language, hasDialect, Mukhad dialect]
  • A. Razihi dialect
    The Razihi dialect is a highly distinctive and conservative Arabic variety spoken in parts of northwestern Yemen, noted for preserving many archaic linguistic features.
  • B. Wasi dialect
    The Wasi dialect is a regional variety of the Prasuni language spoken by a subset of the Prasun people in Afghanistan’s Nuristan region.
  • C. Nankani dialect
    The Nankani dialect is a regional variety of the Gur-language cluster spoken in northern Ghana and southern Burkina Faso, associated with the Nankani people.
  • D. Khori dialect
    The Khori dialect is a major regional variety of the Buryat language spoken primarily by the Khori Buryats in parts of Russia and Mongolia.
  • E. Zanniat dialect
    The Zanniat dialect is a regional variety of the Falam Chin language spoken by the Zanniat people in parts of Chin State, Myanmar.
  • 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: Mukhad dialect
Triple: [Rutul language, hasDialect, Mukhad dialect]
Generated description
The Mukhad dialect is a regional variety of the Rutul language spoken by Rutul communities in the Caucasus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mukhad dialect
Target entity description: The Mukhad dialect is a regional variety of the Rutul language spoken by Rutul communities in the Caucasus.
  • A. Razihi dialect
    The Razihi dialect is a highly distinctive and conservative Arabic variety spoken in parts of northwestern Yemen, noted for preserving many archaic linguistic features.
  • B. Wasi dialect
    The Wasi dialect is a regional variety of the Prasuni language spoken by a subset of the Prasun people in Afghanistan’s Nuristan region.
  • C. Nankani dialect
    The Nankani dialect is a regional variety of the Gur-language cluster spoken in northern Ghana and southern Burkina Faso, associated with the Nankani people.
  • D. Khori dialect
    The Khori dialect is a major regional variety of the Buryat language spoken primarily by the Khori Buryats in parts of Russia and Mongolia.
  • E. Zanniat dialect
    The Zanniat dialect is a regional variety of the Falam Chin language spoken by the Zanniat people in parts of Chin State, Myanmar.
  • 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.