Triple

T12481503
Position Surface form Disambiguated ID Type / Status
Subject Tekno E298317 entity
Predicate notableWork P4 FINISHED
Object Pana
"Pana" is a hit Afrobeats single by Nigerian singer Tekno that gained widespread popularity across Africa and beyond.
 E985612 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: Pana | Statement: [Tekno, notableWork, Pana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pana
Context triple: [Tekno, notableWork, Pana]
  • A. Panke
    Panke is a small river in northeastern Germany that flows through Berlin and Brandenburg before joining the Spree.
  • B. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • C. Pampangan
    Pampangan is an alternative name for Kapampangan, an Austronesian language and ethnolinguistic group native to the Pampanga region in the Philippines.
  • D. Ometo
    Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
  • E. Mahuva
    Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
  • 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: Pana
Triple: [Tekno, notableWork, Pana]
Generated description
"Pana" is a hit Afrobeats single by Nigerian singer Tekno that gained widespread popularity across Africa and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pana
Target entity description: "Pana" is a hit Afrobeats single by Nigerian singer Tekno that gained widespread popularity across Africa and beyond.
  • A. Panke
    Panke is a small river in northeastern Germany that flows through Berlin and Brandenburg before joining the Spree.
  • B. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • C. Pampangan
    Pampangan is an alternative name for Kapampangan, an Austronesian language and ethnolinguistic group native to the Pampanga region in the Philippines.
  • D. Ometo
    Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
  • E. Mahuva
    Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcef6548190a6d29375bdabd17d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f29307c8190b024d889d45ba9f7 completed May 2, 2026, 6:15 p.m.
NEDg Description generation batch_69f6437e88c881909b7f1d55c11b0825 completed May 2, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69f644464c0c8190a8d4ea4914d32e7f completed May 2, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:56 p.m.