Triple

T13706439
Position Surface form Disambiguated ID Type / Status
Subject Falam Chin E328652 entity
Predicate hasDialect P4251 FINISHED
Object Sim dialect
Sim dialect is a regional variety of the Falam Chin language spoken by a specific Chin community, primarily in parts of Myanmar and neighboring areas.
 E1054977 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: Sim dialect | Statement: [Falam Chin, hasDialect, Sim dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sim dialect
Context triple: [Falam Chin, hasDialect, Sim dialect]
  • A. Tom dialect
    The Tom dialect is a regional variety of the Siberian Tatar language traditionally spoken by Tatar communities along the Tom River in Siberia.
  • B. Sim
    Sim is a given name and surname, often used as a short form of names like Simon or Simeon.
  • C. Vo dialect
    The Vo dialect is a regional variety of the Wa language spoken by Wa communities in parts of Southeast Asia.
  • D. Pitmatic dialect
    Pitmatic dialect is a traditional English variety spoken in the coal-mining communities of North East England, characterized by distinctive vocabulary and pronunciation linked to miners’ work and culture.
  • E. Satun dialect
    The Satun dialect is a regional variety of Southern Thai spoken primarily in Satun Province in southern Thailand, reflecting local cultural and linguistic influences.
  • 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: Sim dialect
Triple: [Falam Chin, hasDialect, Sim dialect]
Generated description
Sim dialect is a regional variety of the Falam Chin language spoken by a specific Chin community, primarily in parts of Myanmar and neighboring areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sim dialect
Target entity description: Sim dialect is a regional variety of the Falam Chin language spoken by a specific Chin community, primarily in parts of Myanmar and neighboring areas.
  • A. Tom dialect
    The Tom dialect is a regional variety of the Siberian Tatar language traditionally spoken by Tatar communities along the Tom River in Siberia.
  • B. Sim
    Sim is a given name and surname, often used as a short form of names like Simon or Simeon.
  • C. Vo dialect
    The Vo dialect is a regional variety of the Wa language spoken by Wa communities in parts of Southeast Asia.
  • D. Pitmatic dialect
    Pitmatic dialect is a traditional English variety spoken in the coal-mining communities of North East England, characterized by distinctive vocabulary and pronunciation linked to miners’ work and culture.
  • E. Satun dialect
    The Satun dialect is a regional variety of Southern Thai spoken primarily in Satun Province in southern Thailand, reflecting local cultural and linguistic influences.
  • 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_69f7945b63288190819621830ac1c0d6 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f796df515c819080a95621a8308629 completed May 3, 2026, 6:41 p.m.
NED2 Entity disambiguation (via description) batch_69f7976846308190b1a5c056609fca34 completed May 3, 2026, 6:43 p.m.
Created at: April 9, 2026, 9:54 p.m.