Triple

T2811942
Position Surface form Disambiguated ID Type / Status
Subject Mande languages E54190 entity
Predicate hasMajorLanguage P207 FINISHED
Object Kono
Kono is a major Mande language spoken primarily in parts of West Africa, notably in Sierra Leone and neighboring regions.
 E302233 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: Kono | Statement: [Mande languages, hasMajorLanguage, Kono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kono
Context triple: [Mande languages, hasMajorLanguage, Kono]
  • A. Kono
    Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
  • B. Kuni
    Kuni is the Japanese noble family name of Empress Kōjun, consort of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito.
  • C. Konny
    Konny is a diminutive form of the given name Konrad, commonly used as an affectionate nickname.
  • D. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • E. Koni
    Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
  • 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: Kono
Triple: [Mande languages, hasMajorLanguage, Kono]
Generated description
Kono is a major Mande language spoken primarily in parts of West Africa, notably in Sierra Leone and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kono
Target entity description: Kono is a major Mande language spoken primarily in parts of West Africa, notably in Sierra Leone and neighboring regions.
  • A. Kono
    Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
  • B. Kuni
    Kuni is the Japanese noble family name of Empress Kōjun, consort of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito.
  • C. Konny
    Konny is a diminutive form of the given name Konrad, commonly used as an affectionate nickname.
  • D. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • E. Koni
    Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
  • 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.