Triple

T10198653
Position Surface form Disambiguated ID Type / Status
Subject Hmong-Mien E238827 entity
Predicate includesLanguage P2177 FINISHED
Object Pa-Hng
Pa-Hng is a minority Hmong-Mien language spoken by small ethnic communities in parts of southern China and Southeast Asia.
 E846809 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: Pa-Hng | Statement: [Hmong-Mien, includesLanguage, Pa-Hng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pa-Hng
Context triple: [Hmong-Mien, includesLanguage, Pa-Hng]
  • A. Hong Ngu
    Hong Ngu is a town in Vietnam’s Mekong Delta region, located in Dong Thap Province near the border with Cambodia.
  • B. Kwang-chou
    Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
  • C. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • D. Haad Yao
    Haad Yao is a popular long sandy beach on the northwest coast of Ko Pha Ngan in Thailand, known for its clear waters, sunsets, and relaxed atmosphere.
  • E. Shom Peng
    Shom Peng is an indigenous language spoken by the Shompen people of Great Nicobar Island in India’s Nicobar Islands.
  • 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: Pa-Hng
Triple: [Hmong-Mien, includesLanguage, Pa-Hng]
Generated description
Pa-Hng is a minority Hmong-Mien language spoken by small ethnic communities in parts of southern China and Southeast Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pa-Hng
Target entity description: Pa-Hng is a minority Hmong-Mien language spoken by small ethnic communities in parts of southern China and Southeast Asia.
  • A. Hong Ngu
    Hong Ngu is a town in Vietnam’s Mekong Delta region, located in Dong Thap Province near the border with Cambodia.
  • B. Kwang-chou
    Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
  • C. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • D. Haad Yao
    Haad Yao is a popular long sandy beach on the northwest coast of Ko Pha Ngan in Thailand, known for its clear waters, sunsets, and relaxed atmosphere.
  • E. Shom Peng
    Shom Peng is an indigenous language spoken by the Shompen people of Great Nicobar Island in India’s Nicobar Islands.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee3dfa108190b2888385ef96de23 completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317eca3f88190a47009be6f96977e completed April 6, 2026, 2:18 a.m.
NEDg Description generation batch_69d319cb6e8c8190926bacedd18f5ded completed April 6, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_69d31a5417f48190ac4449b44b555320 completed April 6, 2026, 2:28 a.m.
Created at: March 30, 2026, 9:14 p.m.