Triple

T12155699
Position Surface form Disambiguated ID Type / Status
Subject Senegambian languages E289568 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Mankanya
Mankanya is a Senegambian language spoken primarily by the Mankanya people in parts of Senegal, Gambia, and Guinea-Bissau.
E963459 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: Mankanya | Statement: [Senegambian languages, hasNotableLanguage, Mankanya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mankanya
Context triple: [Senegambian languages, hasNotableLanguage, Mankanya]
  • A. Mankessim
    Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
  • B. Mankatha
    Mankatha is a 2011 Tamil action-thriller film directed by Venkat Prabhu, known for its heist plot and Ajith Kumar’s anti-hero performance.
  • C. Dondas
    Dondas is an alternative form or variant of the name Dundas, which is used for various places, people, and institutions, particularly in English-speaking regions.
  • D. Mann im Matsch
    Mann im Matsch is a sculptural work by German artist Thomas Schütte that characteristically explores the human figure in a vulnerable, existential state.
  • E. Manush
    Manush are a subgroup of the Romani people, traditionally found in Western Europe and known for their distinct cultural and linguistic heritage.
  • 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: Mankanya
Triple: [Senegambian languages, hasNotableLanguage, Mankanya]
Generated description
Mankanya is a Senegambian language spoken primarily by the Mankanya people in parts of Senegal, Gambia, and Guinea-Bissau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mankanya
Target entity description: Mankanya is a Senegambian language spoken primarily by the Mankanya people in parts of Senegal, Gambia, and Guinea-Bissau.
  • A. Mankessim
    Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
  • B. Mankatha
    Mankatha is a 2011 Tamil action-thriller film directed by Venkat Prabhu, known for its heist plot and Ajith Kumar’s anti-hero performance.
  • C. Dondas
    Dondas is an alternative form or variant of the name Dundas, which is used for various places, people, and institutions, particularly in English-speaking regions.
  • D. Mann im Matsch
    Mann im Matsch is a sculptural work by German artist Thomas Schütte that characteristically explores the human figure in a vulnerable, existential state.
  • E. Manush
    Manush are a subgroup of the Romani people, traditionally found in Western Europe and known for their distinct cultural and linguistic heritage.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c1673c8190830cd15525d16869 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69c8d408190abbc900deb534045 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fe53d47c8190896a9abf8cc4bc31 completed May 2, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc2cfd08190b87eccd3a73afc77 completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:50 p.m.