Triple

T3123362
Position Surface form Disambiguated ID Type / Status
Subject Chin E65237 entity
Predicate language P15 FINISHED
Object Hakha Chin
Hakha Chin is a Tibeto-Burman language spoken primarily by the Chin people in and around the town of Hakha in Chin State, Myanmar.
E328651 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: Hakha Chin | Statement: [Chin, language, Hakha Chin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hakha Chin
Context triple: [Chin, language, Hakha Chin]
  • A. Khasian
    Khasian is a branch of the Austroasiatic language family comprising several related languages spoken primarily in the northeastern region of India, especially in Meghalaya.
  • B. Shina
    Shina is an Indo-Aryan language spoken primarily in the Gilgit-Baltistan region of Pakistan and surrounding Himalayan areas.
  • C. Tshiguvhu
    Tshiguvhu is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
  • D. Chakhesang Naga
    The Chakhesang Naga are an indigenous Naga community of northeastern India known for their rich cultural traditions, festivals, and distinct language varieties.
  • E. Can Tho
    Can Tho is a major city in southern Vietnam and the economic and cultural hub of the Mekong Delta region, known for its bustling floating markets and extensive canal network.
  • 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: Hakha Chin
Triple: [Chin, language, Hakha Chin]
Generated description
Hakha Chin is a Tibeto-Burman language spoken primarily by the Chin people in and around the town of Hakha in Chin State, Myanmar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hakha Chin
Target entity description: Hakha Chin is a Tibeto-Burman language spoken primarily by the Chin people in and around the town of Hakha in Chin State, Myanmar.
  • A. Khasian
    Khasian is a branch of the Austroasiatic language family comprising several related languages spoken primarily in the northeastern region of India, especially in Meghalaya.
  • B. Shina
    Shina is an Indo-Aryan language spoken primarily in the Gilgit-Baltistan region of Pakistan and surrounding Himalayan areas.
  • C. Tshiguvhu
    Tshiguvhu is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
  • D. Chakhesang Naga
    The Chakhesang Naga are an indigenous Naga community of northeastern India known for their rich cultural traditions, festivals, and distinct language varieties.
  • E. Can Tho
    Can Tho is a major city in southern Vietnam and the economic and cultural hub of the Mekong Delta region, known for its bustling floating markets and extensive canal network.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52c105c8190b8128e66d9b9e8a0 completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f72c2048190ab2aa40a109f5976 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b21083db7081908f8bc4240fc2b08b completed March 12, 2026, 1:01 a.m.
NED2 Entity disambiguation (via description) batch_69b210fa8a7c8190ae4527161aa3af54 completed March 12, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:04 p.m.