Triple

T13706389
Position Surface form Disambiguated ID Type / Status
Subject Hakha Chin E328651 entity
Predicate hasDialects P4251 FINISHED
Object Surkhua
Surkhua is a dialect of the Hakha Chin language spoken by a subset of the Chin people in Myanmar.
 E1064115 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: Surkhua | Statement: [Hakha Chin, hasDialects, Surkhua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Surkhua
Context triple: [Hakha Chin, hasDialects, Surkhua]
  • A. Shekhan
    Shekhan is a town in northern Iraq that serves as one of the main cultural and residential centers of the Yazidi community.
  • B. Surkhob
    Surkhob is the historical name of a major river in Central Asia that forms part of what is now known as the Vakhsh River in Tajikistan.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • E. Nokha
    Nokha is a town in the Indian state of Rajasthan, known as a commercial and agricultural center within the Bikaner region.
  • 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: Surkhua
Triple: [Hakha Chin, hasDialects, Surkhua]
Generated description
Surkhua is a dialect of the Hakha Chin language spoken by a subset of the Chin people in Myanmar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Surkhua
Target entity description: Surkhua is a dialect of the Hakha Chin language spoken by a subset of the Chin people in Myanmar.
  • A. Shekhan
    Shekhan is a town in northern Iraq that serves as one of the main cultural and residential centers of the Yazidi community.
  • B. Surkhob
    Surkhob is the historical name of a major river in Central Asia that forms part of what is now known as the Vakhsh River in Tajikistan.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • E. Nokha
    Nokha is a town in the Indian state of Rajasthan, known as a commercial and agricultural center within the Bikaner region.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad17732c8190bbd0d73107711c99 completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8cd0280819081c524660f3822f3 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b9d773f881908660e8a0645d318d completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7bbf47c888190be32a4105903120a completed May 3, 2026, 9:19 p.m.
Created at: April 9, 2026, 9:54 p.m.