Triple

T13937809
Position Surface form Disambiguated ID Type / Status
Subject Jukun language E335163 entity
Predicate hasAlternativeName P39 FINISHED
Object Jukun Takum
Jukun Takum is a dialect or variety of the Jukun language spoken by the Jukun people, primarily in parts of Nigeria.
E1070889 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: Jukun Takum | Statement: [Jukun language, hasAlternativeName, Jukun Takum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jukun Takum
Context triple: [Jukun language, hasAlternativeName, Jukun Takum]
  • A. Urakawa
    Urakawa is a coastal town in Hokkaido, Japan, known for its horse breeding industry and scenic Pacific shoreline.
  • B. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • C. Niijuku
    Niijuku is a neighborhood located within Katsushika ward in Tokyo, Japan.
  • D. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • E. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • 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: Jukun Takum
Triple: [Jukun language, hasAlternativeName, Jukun Takum]
Generated description
Jukun Takum is a dialect or variety of the Jukun language spoken by the Jukun people, primarily in parts of Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jukun Takum
Target entity description: Jukun Takum is a dialect or variety of the Jukun language spoken by the Jukun people, primarily in parts of Nigeria.
  • A. Urakawa
    Urakawa is a coastal town in Hokkaido, Japan, known for its horse breeding industry and scenic Pacific shoreline.
  • B. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • C. Niijuku
    Niijuku is a neighborhood located within Katsushika ward in Tokyo, Japan.
  • D. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • E. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf5cc8c8190bea74291702b2925 completed April 14, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce89d2348190b5a50376c2b8248c completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f7cfe8dca08190825b8e1bbfe411a6 completed May 3, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_69fb5504702081908a1492f1a8e24434 completed May 6, 2026, 2:49 p.m.
Created at: April 9, 2026, 10:17 p.m.