Triple

T3113643
Position Surface form Disambiguated ID Type / Status
Subject Diamond Platnumz E65006 entity
Predicate notableWork P4 FINISHED
Object Kanyaga
"Kanyaga" is a popular Tanzanian Bongo Flava hit song by Diamond Platnumz known for its energetic beat and danceable style.
E332950 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: Kanyaga | Statement: [Diamond Platnumz, notableWork, Kanyaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanyaga
Context triple: [Diamond Platnumz, notableWork, Kanyaga]
  • A. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • B. Nyazura
    Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
  • C. Monguno
    Monguno is a town and local government area in Borno State, northeastern Nigeria, known for its strategic location and role in regional security dynamics.
  • D. Nyanda
    Nyanda is the former name of Masvingo, a historic city in southeastern Zimbabwe known for its proximity to the Great Zimbabwe ruins.
  • E. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • 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: Kanyaga
Triple: [Diamond Platnumz, notableWork, Kanyaga]
Generated description
"Kanyaga" is a popular Tanzanian Bongo Flava hit song by Diamond Platnumz known for its energetic beat and danceable style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kanyaga
Target entity description: "Kanyaga" is a popular Tanzanian Bongo Flava hit song by Diamond Platnumz known for its energetic beat and danceable style.
  • A. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • B. Nyazura
    Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
  • C. Monguno
    Monguno is a town and local government area in Borno State, northeastern Nigeria, known for its strategic location and role in regional security dynamics.
  • D. Nyanda
    Nyanda is the former name of Masvingo, a historic city in southeastern Zimbabwe known for its proximity to the Great Zimbabwe ruins.
  • E. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43c79448190aa72f707319e8c5e completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235a8949881908496a1413ffa2658 completed March 12, 2026, 3:40 a.m.
NEDg Description generation batch_69b236962ee48190b37836e5fe6dbc37 completed March 12, 2026, 3:44 a.m.
NED2 Entity disambiguation (via description) batch_69b237397e14819093a7192d28c59ad1 completed March 12, 2026, 3:47 a.m.
Created at: March 8, 2026, 3:04 p.m.