Triple

T12653870
Position Surface form Disambiguated ID Type / Status
Subject Bobo E302231 entity
Predicate hasDialect P4251 FINISHED
Object Southern Bobo
Southern Bobo is a regional dialect of the Bobo language spoken by Bobo communities in West Africa.
 E996635 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: Southern Bobo | Statement: [Bobo, hasDialect, Southern Bobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Southern Bobo
Context triple: [Bobo, hasDialect, Southern Bobo]
  • A. Selebobo
    Selebobo is a Nigerian singer, songwriter, and record producer known for his work in contemporary Afropop and collaborations with prominent African artists.
  • B. Bafut
    Bafut is a traditional kingdom and town in northwestern Cameroon known for its rich cultural heritage and historical palace.
  • C. Galibi
    Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
  • D. Basoko
    Basoko is a riverside town in the Democratic Republic of the Congo, situated at the confluence of the Aruwimi and Congo Rivers and serving as a local administrative and trading center.
  • E. Keoma
    Keoma is a 1976 Italian spaghetti Western film directed by Enzo G. Castellari, widely regarded as one of Franco Nero’s most iconic and atmospheric roles.
  • 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: Southern Bobo
Triple: [Bobo, hasDialect, Southern Bobo]
Generated description
Southern Bobo is a regional dialect of the Bobo language spoken by Bobo communities in West Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Southern Bobo
Target entity description: Southern Bobo is a regional dialect of the Bobo language spoken by Bobo communities in West Africa.
  • A. Selebobo
    Selebobo is a Nigerian singer, songwriter, and record producer known for his work in contemporary Afropop and collaborations with prominent African artists.
  • B. Bafut
    Bafut is a traditional kingdom and town in northwestern Cameroon known for its rich cultural heritage and historical palace.
  • C. Galibi
    Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
  • D. Basoko
    Basoko is a riverside town in the Democratic Republic of the Congo, situated at the confluence of the Aruwimi and Congo Rivers and serving as a local administrative and trading center.
  • E. Keoma
    Keoma is a 1976 Italian spaghetti Western film directed by Enzo G. Castellari, widely regarded as one of Franco Nero’s most iconic and atmospheric roles.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96160730c81909e1aa3efb51bf159 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688104d48190939933b93b7e60cc completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f66c572f848190a8cad6311d3315a3 completed May 2, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69f66cef79148190a052fb9ade3b0d27 completed May 2, 2026, 9:30 p.m.
Created at: April 9, 2026, 5:18 p.m.