Triple

T23253703
Position Surface form Disambiguated ID Type / Status
Subject Mafa E581805 entity
Predicate hasEthnonymVariant P57538 FINISHED
Object Matakam
Matakam is an ethnonym referring to the Mafa people, an ethnic group primarily inhabiting the Mandara Mountains region of northern Cameroon and northeastern Nigeria.
E1576916 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: Matakam | Statement: [Mafa, hasEthnonymVariant, Matakam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matakam
Context triple: [Mafa, hasEthnonymVariant, Matakam]
  • A. Matakana
    Matakana is a small rural town in the Auckland Region of New Zealand, known for its vineyards, farmers’ market, and proximity to popular east coast beaches.
  • B. Makus
    Makus is an alternative form of the name Maccus, a historical given name of Norse and Gaelic origin.
  • C. Mokama
    Mokama is a town in the Patna district of Bihar, India, situated along the Ganges River and known as an important regional transport and industrial hub.
  • D. Matabaan
    Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
  • E. Makato
    Makato is a coastal municipality in the province of Aklan in the Western Visayas region of the Philippines.
  • 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: Matakam
Triple: [Mafa, hasEthnonymVariant, Matakam]
Generated description
Matakam is an ethnonym referring to the Mafa people, an ethnic group primarily inhabiting the Mandara Mountains region of northern Cameroon and northeastern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matakam
Target entity description: Matakam is an ethnonym referring to the Mafa people, an ethnic group primarily inhabiting the Mandara Mountains region of northern Cameroon and northeastern Nigeria.
  • A. Matakana
    Matakana is a small rural town in the Auckland Region of New Zealand, known for its vineyards, farmers’ market, and proximity to popular east coast beaches.
  • B. Makus
    Makus is an alternative form of the name Maccus, a historical given name of Norse and Gaelic origin.
  • C. Mokama
    Mokama is a town in the Patna district of Bihar, India, situated along the Ganges River and known as an important regional transport and industrial hub.
  • D. Matabaan
    Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
  • E. Makato
    Makato is a coastal municipality in the province of Aklan in the Western Visayas region of the Philippines.
  • 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f9d904819097315c9bf031f667 completed April 29, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f6a050c81908242087190a5a42e completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c40297d3c8190b366b60cec3dbbf8 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40ffd67481908931ffc2d91fb02b completed May 19, 2026, 10:52 a.m.
Created at: April 17, 2026, 4:11 p.m.