Triple

T11397685
Position Surface form Disambiguated ID Type / Status
Subject Daka language E270020 entity
Predicate hasAlternativeName P39 FINISHED
Object Dakka
Dakka is an alternative name for the Daka language, a lesser-known language spoken in parts of Nigeria.
 E923598 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: Dakka | Statement: [Daka language, hasAlternativeName, Dakka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dakka
Context triple: [Daka language, hasAlternativeName, Dakka]
  • A. Dakhal
    Dakhal is an acclaimed Indian Bengali film directed by Goutam Ghose, known for its socially conscious portrayal of marginalized communities and rural injustices.
  • B. Kaba
    Kaba is an ethnic group in Central Africa known for speaking the Kaba language and maintaining distinct cultural traditions.
  • C. Datooga
    Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
  • D. Dagari
    Dagari is an alternative name for the Dagaare language, a Gur language spoken primarily in parts of Ghana and Burkina Faso.
  • E. Darakeh
    Darakeh is a popular village and recreational area in northern Tehran, Iran, known for its hiking trails, riverside cafés, and scenic mountain views.
  • 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: Dakka
Triple: [Daka language, hasAlternativeName, Dakka]
Generated description
Dakka is an alternative name for the Daka language, a lesser-known language spoken in parts of Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dakka
Target entity description: Dakka is an alternative name for the Daka language, a lesser-known language spoken in parts of Nigeria.
  • A. Dakhal
    Dakhal is an acclaimed Indian Bengali film directed by Goutam Ghose, known for its socially conscious portrayal of marginalized communities and rural injustices.
  • B. Kaba
    Kaba is an ethnic group in Central Africa known for speaking the Kaba language and maintaining distinct cultural traditions.
  • C. Datooga
    Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
  • D. Dagari
    Dagari is an alternative name for the Dagaare language, a Gur language spoken primarily in parts of Ghana and Burkina Faso.
  • E. Darakeh
    Darakeh is a popular village and recreational area in northern Tehran, Iran, known for its hiking trails, riverside cafés, and scenic mountain views.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80019d3d48190a2f473deb6eae33a completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58cd74280819092f8c420630f4889 completed April 20, 2026, 2:17 a.m.
NEDg Description generation batch_69e59774e6648190a38b2515a83c2e0c completed April 20, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69e5a3abf24481908fb71f4ef6b13532 completed April 20, 2026, 3:55 a.m.
Created at: April 8, 2026, 9:34 p.m.