Triple

T2811939
Position Surface form Disambiguated ID Type / Status
Subject Mande languages E54190 entity
Predicate hasMajorLanguage P207 FINISHED
Object Bobo
Bobo is a major Mande language spoken primarily in parts of West Africa, notably in Burkina Faso and Mali.
 E302231 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: [Mande languages, hasMajorLanguage, Bobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bobo
Context triple: [Mande languages, hasMajorLanguage, Bobo]
  • A. Teddy
    Teddy is Mr. Bean’s beloved brown teddy bear, a silent yet expressive companion that often serves as his confidant and playmate in the comedy series.
  • B. Buddy
    Buddy is the young boy narrator and central figure in Truman Capote’s autobiographical short story “A Christmas Memory,” reflecting the author’s own childhood experiences.
  • C. Buddy
    Buddy is the young boy protagonist whose perspective shapes the semi-autobiographical coming-of-age story set during the Troubles in the film "Belfast."
  • D. Cobi
    Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
  • E. Bunny
    Bunny is a supporting character in the psychological thriller film "Don't Worry Darling," portrayed as a seemingly content housewife whose role becomes more complex as the story’s unsettling reality is revealed.
  • 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: [Mande languages, hasMajorLanguage, Bobo]
Generated description
Bobo is a major Mande language spoken primarily in parts of West Africa, notably in Burkina Faso and Mali.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bobo
Target entity description: Bobo is a major Mande language spoken primarily in parts of West Africa, notably in Burkina Faso and Mali.
  • A. Teddy
    Teddy is Mr. Bean’s beloved brown teddy bear, a silent yet expressive companion that often serves as his confidant and playmate in the comedy series.
  • B. Buddy
    Buddy is the young boy narrator and central figure in Truman Capote’s autobiographical short story “A Christmas Memory,” reflecting the author’s own childhood experiences.
  • C. Buddy
    Buddy is the young boy protagonist whose perspective shapes the semi-autobiographical coming-of-age story set during the Troubles in the film "Belfast."
  • D. Cobi
    Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
  • E. Bunny
    Bunny is a supporting character in the psychological thriller film "Don't Worry Darling," portrayed as a seemingly content housewife whose role becomes more complex as the story’s unsettling reality is revealed.
  • 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde354a5881908cd3d545f7dda81c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9a76388190a5dce756de2eb59f completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afd0b179ac8190a260003b9a457180 completed March 10, 2026, 8:05 a.m.
NED2 Entity disambiguation (via description) batch_69afd10b07748190935cce94cd9b2a13 completed March 10, 2026, 8:06 a.m.
Created at: March 6, 2026, 9:59 p.m.