Triple
T10300078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobo-Dioulasso |
E241604
|
entity |
| Predicate | majorEthnicGroup |
P1898
|
FINISHED |
| Object |
Bobo
The Bobo are an ethnic group of West Africa, primarily living in western Burkina Faso and known for their farming traditions and rich mask-based ceremonial culture.
|
E856367
|
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: Bobo | Statement: [Bobo-Dioulasso, majorEthnicGroup, Bobo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bobo Context triple: [Bobo-Dioulasso, majorEthnicGroup, Bobo]
-
A.
Bobo
Bobo is a major Mande language spoken primarily in parts of West Africa, notably in Burkina Faso and Mali.
-
B.
Mr. Bobo
Mr. Bobo is an eccentric, retired circus performer who lives upstairs from Coraline and obsessively trains a troupe of jumping mice in Neil Gaiman’s novella "Coraline."
-
C.
Babo
Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
-
D.
Bubs
Bubs is a casual nickname commonly used for the character Bubbles, often conveying affection or familiarity.
-
E.
Teddy
Teddy is a character in Louisa May Alcott’s novel "Jo’s Boys," part of the continuation of the March family saga begun in "Little Women."
- 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: Bobo Triple: [Bobo-Dioulasso, majorEthnicGroup, Bobo]
Generated description
The Bobo are an ethnic group of West Africa, primarily living in western Burkina Faso and known for their farming traditions and rich mask-based ceremonial culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bobo Target entity description: The Bobo are an ethnic group of West Africa, primarily living in western Burkina Faso and known for their farming traditions and rich mask-based ceremonial culture.
-
A.
Bobo
Bobo is a major Mande language spoken primarily in parts of West Africa, notably in Burkina Faso and Mali.
-
B.
Mr. Bobo
Mr. Bobo is an eccentric, retired circus performer who lives upstairs from Coraline and obsessively trains a troupe of jumping mice in Neil Gaiman’s novella "Coraline."
-
C.
Babo
Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
-
D.
Bubs
Bubs is a casual nickname commonly used for the character Bubbles, often conveying affection or familiarity.
-
E.
Teddy
Teddy is a character in Louisa May Alcott’s novel "Jo’s Boys," part of the continuation of the March family saga begun in "Little Women."
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ee10f88190b1615c49b8f24a26 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d3f2c2c8190a71e4a896d8753e7 |
completed | April 9, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69d7318402f08190b655bdddbd97ecb9 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d734473ef48190852dbe48742a4273 |
completed | April 9, 2026, 5:08 a.m. |
Created at: April 6, 2026, 11:44 a.m.