Triple

T11578436
Position Surface form Disambiguated ID Type / Status
Subject Dogon languages E274563 entity
Predicate hasSubgroup P747 FINISHED
Object Togo Kan
Togo Kan is a specific subgroup of the Dogon languages spoken by Dogon communities in Mali.
 E934548 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: Togo Kan | Statement: [Dogon languages, hasSubgroup, Togo Kan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Togo Kan
Context triple: [Dogon languages, hasSubgroup, Togo Kan]
  • A. Takeo
    Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
  • B. Gotō
    Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
  • C. Kanemoto
    Kanemoto is a Japanese surname most notably associated with former professional baseball player and manager Tomonori Kanemoto.
  • D. Oyunohara
    Oyunohara is the former riverside site of Kumano Hongu Taisha, now a sacred sandbank marked by a giant torii gate and used for Shinto rituals and pilgrimages in Japan’s Kumano region.
  • E. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • 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: Togo Kan
Triple: [Dogon languages, hasSubgroup, Togo Kan]
Generated description
Togo Kan is a specific subgroup of the Dogon languages spoken by Dogon communities in Mali.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Togo Kan
Target entity description: Togo Kan is a specific subgroup of the Dogon languages spoken by Dogon communities in Mali.
  • A. Takeo
    Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
  • B. Gotō
    Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
  • C. Kanemoto
    Kanemoto is a Japanese surname most notably associated with former professional baseball player and manager Tomonori Kanemoto.
  • D. Oyunohara
    Oyunohara is the former riverside site of Kumano Hongu Taisha, now a sacred sandbank marked by a giant torii gate and used for Shinto rituals and pilgrimages in Japan’s Kumano region.
  • E. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904b46288190890ecafd6ceb0c3d completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e714080a60819095205355776c8637 completed April 21, 2026, 6:07 a.m.
NEDg Description generation batch_69e720f9a8588190aa766d2e1628207a completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e72315dda08190996aa84587c5fc80 completed April 21, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:38 p.m.