Triple

T14195731
Position Surface form Disambiguated ID Type / Status
Subject Mandinka language E351830 entity
Predicate hasDialects P4251 FINISHED
Object Kita Mandinka E28118 NE FINISHED

How this triple was built (2 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: Kita Mandinka | Statement: [Mandinka language, hasDialects, Kita Mandinka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kita Mandinka
Context triple: [Mandinka language, hasDialects, Kita Mandinka]
  • A. Mundemba
    Mundemba is a town in southwestern Cameroon known as a gateway to the biodiverse Korup National Park.
  • B. Mandinka chosen
    Mandinka is a major Mande language spoken primarily in The Gambia, Senegal, Guinea-Bissau, and neighboring West African countries by the Mandinka people.
  • C. Jola-Bandial
    Jola-Bandial is a Niger-Congo language variety spoken by the Jola people of the Casamance region in southern Senegal.
  • D. Badja Djola
    Badja Djola was an American character actor known for his intense and memorable supporting roles in films and television from the 1970s through the 1990s.
  • E. Kete Krachi
    Kete Krachi is a town in the Oti Region of Ghana that serves as an important lakeside community and transport hub on the shores of Lake Volta.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e1fbd48190a4864fa4443f8f29 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194b32d88190aa74eef576152db3 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.