Triple

T13706493
Position Surface form Disambiguated ID Type / Status
Subject Tedim Chin E328653 entity
Predicate hasDialect P4251 FINISHED
Object Vangteh
Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
 E1056418 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: Vangteh | Statement: [Tedim Chin, hasDialect, Vangteh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vangteh
Context triple: [Tedim Chin, hasDialect, Vangteh]
  • A. Vengi
    Vengi was an important early medieval city and region in southeastern India that served as a major political and cultural center under the Eastern Chalukya dynasty.
  • B. Vana
    Vana is a diminutive or nickname commonly used for the given name Silvana.
  • C. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • D. Vanylven
    Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • E. Verchota
    Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
  • 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: Vangteh
Triple: [Tedim Chin, hasDialect, Vangteh]
Generated description
Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vangteh
Target entity description: Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
  • A. Vengi
    Vengi was an important early medieval city and region in southeastern India that served as a major political and cultural center under the Eastern Chalukya dynasty.
  • B. Vana
    Vana is a diminutive or nickname commonly used for the given name Silvana.
  • C. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • D. Vanylven
    Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • E. Verchota
    Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
  • 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_69d80770b9bc81909f70c8c317d53cff 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_69f79d52b3708190ae0945e65b271556 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79df2984c8190bed380102ade0725 completed May 3, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69f79e7d50a88190b2a90094dd6d48ad completed May 3, 2026, 7:14 p.m.
Created at: April 9, 2026, 9:54 p.m.