Triple

T14195749
Position Surface form Disambiguated ID Type / Status
Subject Mandinka language E351830 entity
Predicate hasAlternativeName P39 FINISHED
Object Mandinko 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: Mandinko | Statement: [Mandinka language, hasAlternativeName, Mandinko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandinko
Context triple: [Mandinka language, hasAlternativeName, Mandinko]
  • A. 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.
  • B. Mandla
    Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
  • C. Mthwakazi
    Mthwakazi is a historic Ndebele kingdom in southwestern Zimbabwe, often associated with the precolonial state founded by King Mzilikazi in the 19th century.
  • D. Mokoena
    Mokoena is a common Southern African surname of Sotho-Tswana origin borne by various notable figures in politics, sports, and the arts.
  • E. Mutengene
    Mutengene is a town in southwestern Cameroon known as a key road junction linking the coastal city of Limbe with Buea and other inland areas.
  • 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.