Triple

T14857845
Position Surface form Disambiguated ID Type / Status
Subject Maninka E349406 entity
Predicate hasAlternativeName P39 FINISHED
Object Guinean Maninka 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: Guinean Maninka | Statement: [Maninka, hasAlternativeName, Guinean Maninka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guinean Maninka
Context triple: [Maninka, hasAlternativeName, Guinean Maninka]
  • A. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • 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. Mandji
    Mandji is a town located within Ngounié Province in southwestern Gabon.
  • D. Northern Bobo
    Northern Bobo is a regional variety of the Bobo language spoken by the Bobo people of West Africa.
  • E. Mamprusi
    The Mamprusi are a major Gur-speaking ethnic group of northern Ghana and parts of neighboring countries, known for their centralized chieftaincy system and rich traditions in agriculture, oral history, and Islam.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44458ec8190be295a95f5daab14 completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe650a43bc8190b836fe690d2a3c71 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.