Triple

T11303054
Position Surface form Disambiguated ID Type / Status
Subject Buli language E267642 entity
Predicate neighboringLanguages P16383 FINISHED
Object Kasem
Kasem is a Gur language spoken primarily in parts of Burkina Faso and Ghana.
 E916960 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: Kasem | Statement: [Buli language, neighboringLanguages, Kasem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kasem
Context triple: [Buli language, neighboringLanguages, Kasem]
  • A. Lie Kaas
    Lie Kaas is the surname of Danish actor Nikolaj Lie Kaas, known for his prominent roles in Scandinavian cinema and television.
  • B. Arvin
    Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • C. Kassar
    Kassar is a surname most notably associated with Mario F. Kassar, a prominent film producer known for major Hollywood action blockbusters.
  • D. Buz Kohan
    Buz Kohan is an American television writer, producer, and composer known for his work on variety shows and specials.
  • E. Kaskinen
    Kaskinen is a small coastal town and municipality in western Finland, known as one of the country’s smallest cities by population.
  • 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: Kasem
Triple: [Buli language, neighboringLanguages, Kasem]
Generated description
Kasem is a Gur language spoken primarily in parts of Burkina Faso and Ghana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kasem
Target entity description: Kasem is a Gur language spoken primarily in parts of Burkina Faso and Ghana.
  • A. Lie Kaas
    Lie Kaas is the surname of Danish actor Nikolaj Lie Kaas, known for his prominent roles in Scandinavian cinema and television.
  • B. Arvin
    Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • C. Kassar
    Kassar is a surname most notably associated with Mario F. Kassar, a prominent film producer known for major Hollywood action blockbusters.
  • D. Buz Kohan
    Buz Kohan is an American television writer, producer, and composer known for his work on variety shows and specials.
  • E. Kaskinen
    Kaskinen is a small coastal town and municipality in western Finland, known as one of the country’s smallest cities by population.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a57366081908a05fc52c5d4074c completed April 19, 2026, 5:01 p.m.
NEDg Description generation batch_69e510f9edb4819097e9fa1ce85504ed completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516bec3e481909cbd0d9c683d2191 completed April 19, 2026, 5:54 p.m.
Created at: April 8, 2026, 9:32 p.m.