Triple

T6177964
Position Surface form Disambiguated ID Type / Status
Subject Northern Region E137865 entity
Predicate hasLanguage P15 FINISHED
Object Dagbani
Dagbani is a Gur language spoken primarily by the Dagomba people in northern Ghana.
 E574515 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: Dagbani | Statement: [Northern Region, hasLanguage, Dagbani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dagbani
Context triple: [Northern Region, hasLanguage, Dagbani]
  • A. Yassa
    Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
  • B. Dagaaba
    The Dagaaba are an ethnic group of northwestern Ghana and neighboring Burkina Faso, known for their agrarian lifestyle, rich oral traditions, and distinctive Dagaare language.
  • C. Ndiass
    Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
  • D. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • E. Djenne
    Djenné is an ancient trading city in present-day Mali renowned for its mud-brick architecture and historic role as a center of Islamic scholarship and trans-Saharan commerce.
  • 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: Dagbani
Triple: [Northern Region, hasLanguage, Dagbani]
Generated description
Dagbani is a Gur language spoken primarily by the Dagomba people in northern Ghana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dagbani
Target entity description: Dagbani is a Gur language spoken primarily by the Dagomba people in northern Ghana.
  • A. Yassa
    Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
  • B. Dagaaba
    The Dagaaba are an ethnic group of northwestern Ghana and neighboring Burkina Faso, known for their agrarian lifestyle, rich oral traditions, and distinctive Dagaare language.
  • C. Ndiass
    Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
  • D. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • E. Djenne
    Djenné is an ancient trading city in present-day Mali renowned for its mud-brick architecture and historic role as a center of Islamic scholarship and trans-Saharan commerce.
  • 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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05dc9f3d88190ab46b3b246f5a8df completed March 22, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141bb426881908d5a1451b3619f03 completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c1467ef4d48190b714823935318c0a completed March 23, 2026, 1:56 p.m.
NED2 Entity disambiguation (via description) batch_69c146f59d9881908fdc6c0137f0ead7 completed March 23, 2026, 1:58 p.m.
Created at: March 22, 2026, 4:18 p.m.