Triple

T11302820
Position Surface form Disambiguated ID Type / Status
Subject Dagbani language E267637 entity
Predicate hasAlternativeName P39 FINISHED
Object Dagbanli
Dagbanli is a Gur language spoken primarily by the Dagomba people in northern Ghana.
 E916944 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: Dagbanli | Statement: [Dagbani language, hasAlternativeName, Dagbanli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dagbanli
Context triple: [Dagbani language, hasAlternativeName, Dagbanli]
  • A. Dagr
    Dagr is a figure from Norse mythology associated with the personification of day.
  • B. Porano
    Porano is a small Italian town in the Umbria region, known for its historic hilltop setting and traditional rural character.
  • C. Parjanya
    Parjanya is a figure in Hindu tradition known as the father of Nanda, the foster father of Lord Krishna.
  • D. Narantaka
    Narantaka is a lesser-known demon warrior from the Hindu epic Ramayana, depicted as one of Ravana’s sons who fights in the great battle of Lanka.
  • E. Sangin
    Sangin is a town in southern Afghanistan that gained notoriety as a major battleground during the Afghan conflict, particularly involving British and U.S. forces.
  • 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: Dagbanli
Triple: [Dagbani language, hasAlternativeName, Dagbanli]
Generated description
Dagbanli 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: Dagbanli
Target entity description: Dagbanli is a Gur language spoken primarily by the Dagomba people in northern Ghana.
  • A. Dagr
    Dagr is a figure from Norse mythology associated with the personification of day.
  • B. Porano
    Porano is a small Italian town in the Umbria region, known for its historic hilltop setting and traditional rural character.
  • C. Parjanya
    Parjanya is a figure in Hindu tradition known as the father of Nanda, the foster father of Lord Krishna.
  • D. Narantaka
    Narantaka is a lesser-known demon warrior from the Hindu epic Ramayana, depicted as one of Ravana’s sons who fights in the great battle of Lanka.
  • E. Sangin
    Sangin is a town in southern Afghanistan that gained notoriety as a major battleground during the Afghan conflict, particularly involving British and U.S. forces.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a57366081908a05fc52c5d4074c completed April 19, 2026, 5:01 p.m.
NEDg Description generation batch_69e510f9edb4819097e9fa1ce85504ed completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516bec3e481909cbd0d9c683d2191 completed April 19, 2026, 5:54 p.m.
Created at: April 8, 2026, 9:32 p.m.