Triple

T21086582
Position Surface form Disambiguated ID Type / Status
Subject Bimanese E519503 entity
Predicate hasDialect P4251 FINISHED
Object Sape dialect
The Sape dialect is a regional variety of the Bimanese language spoken by communities in the Sape area of eastern Sumbawa, Indonesia.
 E1466508 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: Sape dialect | Statement: [Bimanese, hasDialect, Sape dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sape dialect
Context triple: [Bimanese, hasDialect, Sape dialect]
  • A. Bakulu dialect
    The Bakulu dialect is a regional variety of the Tyap language spoken by the Bakulu people of central Nigeria.
  • B. Sampaga dialect
    The Sampaga dialect is a regional variety of the Mamuju language spoken by communities in parts of West Sulawesi, Indonesia.
  • C. Enuani dialect
    The Enuani dialect is a variety of the Igbo language spoken primarily by the Anioma people of Delta State and surrounding areas in southern Nigeria.
  • D. Nankani dialect
    The Nankani dialect is a regional variety of the Gur-language cluster spoken in northern Ghana and southern Burkina Faso, associated with the Nankani people.
  • E. Sekopa dialect
    The Sekopa dialect is a regional variety of the Northern Sotho language spoken by specific communities in South Africa, distinguished by its own phonological and lexical features.
  • 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: Sape dialect
Triple: [Bimanese, hasDialect, Sape dialect]
Generated description
The Sape dialect is a regional variety of the Bimanese language spoken by communities in the Sape area of eastern Sumbawa, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sape dialect
Target entity description: The Sape dialect is a regional variety of the Bimanese language spoken by communities in the Sape area of eastern Sumbawa, Indonesia.
  • A. Bakulu dialect
    The Bakulu dialect is a regional variety of the Tyap language spoken by the Bakulu people of central Nigeria.
  • B. Sampaga dialect
    The Sampaga dialect is a regional variety of the Mamuju language spoken by communities in parts of West Sulawesi, Indonesia.
  • C. Enuani dialect
    The Enuani dialect is a variety of the Igbo language spoken primarily by the Anioma people of Delta State and surrounding areas in southern Nigeria.
  • D. Nankani dialect
    The Nankani dialect is a regional variety of the Gur-language cluster spoken in northern Ghana and southern Burkina Faso, associated with the Nankani people.
  • E. Sekopa dialect
    The Sekopa dialect is a regional variety of the Northern Sotho language spoken by specific communities in South Africa, distinguished by its own phonological and lexical features.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094ad1c08190a4b9d2668a6362b2 completed April 21, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a560a508190b4e69a73e6302836 completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095c58689481909fb5ab261870e7e6 completed May 17, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a095d21b59881909898c9581fc21ba7 completed May 17, 2026, 6:16 a.m.
Created at: April 16, 2026, 2:50 p.m.