Triple

T6771629
Position Surface form Disambiguated ID Type / Status
Subject Tafi language E155056 entity
Predicate hasAlternativeName P39 FINISHED
Object Tafi-Tegbo
Tafi-Tegbo is an indigenous Ghanaian language spoken by the Tafi people in the Volta Region.
 E618738 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: Tafi-Tegbo | Statement: [Tafi language, hasAlternativeName, Tafi-Tegbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tafi-Tegbo
Context triple: [Tafi language, hasAlternativeName, Tafi-Tegbo]
  • A. Langoué Baï
    Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
  • B. Lelekou
    Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
  • C. Duékoué
    Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
  • D. Kete Krachi
    Kete Krachi is a town in the Oti Region of Ghana that serves as an important lakeside community and transport hub on the shores of Lake Volta.
  • E. Badja Djola
    Badja Djola was an American character actor known for his intense and memorable supporting roles in films and television from the 1970s through the 1990s.
  • 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: Tafi-Tegbo
Triple: [Tafi language, hasAlternativeName, Tafi-Tegbo]
Generated description
Tafi-Tegbo is an indigenous Ghanaian language spoken by the Tafi people in the Volta Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tafi-Tegbo
Target entity description: Tafi-Tegbo is an indigenous Ghanaian language spoken by the Tafi people in the Volta Region.
  • A. Langoué Baï
    Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
  • B. Lelekou
    Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
  • C. Duékoué
    Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
  • D. Kete Krachi
    Kete Krachi is a town in the Oti Region of Ghana that serves as an important lakeside community and transport hub on the shores of Lake Volta.
  • E. Badja Djola
    Badja Djola was an American character actor known for his intense and memorable supporting roles in films and television from the 1970s through the 1990s.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2496fa08190895d8b625fb0d699 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712c75b9c819099b0be616925a0b9 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c7135106288190b5b20523c3efa229 completed March 27, 2026, 11:31 p.m.
NED2 Entity disambiguation (via description) batch_69c7141cd52c8190a783590ad1067840 completed March 27, 2026, 11:34 p.m.
Created at: March 27, 2026, 2:13 p.m.