Triple

T16446716
Position Surface form Disambiguated ID Type / Status
Subject Mwadi Mabika E399448 entity
Predicate familyName P18 FINISHED
Object Mabika
Mabika is the surname of Mwadi Mabika, a notable Congolese basketball player who competed internationally and in the WNBA.
 E1214490 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: Mabika | Statement: [Mwadi Mabika, familyName, Mabika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mabika
Context triple: [Mwadi Mabika, familyName, Mabika]
  • A. Mabayo
    Mabayo is a coastal barangay in the municipality of Morong in the province of Bataan, Philippines.
  • B. Matabaan
    Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
  • C. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • D. Kinyara
    Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
  • E. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • 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: Mabika
Triple: [Mwadi Mabika, familyName, Mabika]
Generated description
Mabika is the surname of Mwadi Mabika, a notable Congolese basketball player who competed internationally and in the WNBA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mabika
Target entity description: Mabika is the surname of Mwadi Mabika, a notable Congolese basketball player who competed internationally and in the WNBA.
  • A. Mabayo
    Mabayo is a coastal barangay in the municipality of Morong in the province of Bataan, Philippines.
  • B. Matabaan
    Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
  • C. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • D. Kinyara
    Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
  • E. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdcedf8819080aa82a8712c0b42 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f4b738881908f8a205466397f33 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050751be48190a76ab998b544ac5a completed May 10, 2026, 9:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0050d99f7c81909a5d5582294790f7 completed May 10, 2026, 9:33 a.m.
Created at: April 10, 2026, 5:10 a.m.