Triple

T22676776
Position Surface form Disambiguated ID Type / Status
Subject Tây Nguyên E560364 entity
Predicate ethnicGroup P194 FINISHED
Object Xơ Đăng
Xơ Đăng is an indigenous ethnic minority group in Vietnam known for its distinct Mon–Khmer language, upland farming traditions, and rich communal cultural practices.
E1548519 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: Xơ Đăng | Statement: [Tây Nguyên, ethnicGroup, Xơ Đăng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xơ Đăng
Context triple: [Tây Nguyên, ethnicGroup, Xơ Đăng]
  • A. Dong Dang
    Dong Dang is a border town in northern Vietnam that serves as a key railway gateway for international train connections between Vietnam and China.
  • B. Dong Khe
    Dong Khe is a town in northern Vietnam known historically as a strategic point during the First Indochina War, particularly in the Battle of Route Coloniale 4.
  • C. Sán Dìu
    Sán Dìu are an ethnic minority group in northern Vietnam, known for their distinct Sino-Vietnamese language, folk songs, and traditional agricultural lifestyle.
  • D. Gião
    Gião is a civil parish located within the municipality of Ovar in northern Portugal.
  • E. Ba Đồn
    Ba Đồn is a town in Quảng Bình Province, central Vietnam, known as a riverside settlement near the coast along National Route 1A.
  • 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: Xơ Đăng
Triple: [Tây Nguyên, ethnicGroup, Xơ Đăng]
Generated description
Xơ Đăng is an indigenous ethnic minority group in Vietnam known for its distinct Mon–Khmer language, upland farming traditions, and rich communal cultural practices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xơ Đăng
Target entity description: Xơ Đăng is an indigenous ethnic minority group in Vietnam known for its distinct Mon–Khmer language, upland farming traditions, and rich communal cultural practices.
  • A. Dong Dang
    Dong Dang is a border town in northern Vietnam that serves as a key railway gateway for international train connections between Vietnam and China.
  • B. Dong Khe
    Dong Khe is a town in northern Vietnam known historically as a strategic point during the First Indochina War, particularly in the Battle of Route Coloniale 4.
  • C. Sán Dìu
    Sán Dìu are an ethnic minority group in northern Vietnam, known for their distinct Sino-Vietnamese language, folk songs, and traditional agricultural lifestyle.
  • D. Gião
    Gião is a civil parish located within the municipality of Ovar in northern Portugal.
  • E. Ba Đồn
    Ba Đồn is a town in Quảng Bình Province, central Vietnam, known as a riverside settlement near the coast along National Route 1A.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1785ca1e08190af1a6cdb51ca4fce completed April 29, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73ef30588190a40ad1bbc8d47832 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b7486b4308190b3457074c45cec14 completed May 18, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0b74ebf8c08190bc3f2bd0b442ef9c completed May 18, 2026, 8:22 p.m.
Created at: April 17, 2026, 3:11 p.m.