Triple

T2358269
Position Surface form Disambiguated ID Type / Status
Subject Mombasa E47207 entity
Predicate ethnicGroup P194 FINISHED
Object Mijikenda
The Mijikenda are a collective of nine closely related Bantu ethnic groups living primarily along the coast of Kenya, known for their rich oral traditions, sacred kaya forests, and distinctive cultural practices.
 E257983 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: Mijikenda | Statement: [Mombasa, ethnicGroup, Mijikenda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mijikenda
Context triple: [Mombasa, ethnicGroup, Mijikenda]
  • A. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • B. Mizani
    Mizani is a professional haircare brand known for its salon-quality products formulated specifically for textured, curly, and coily hair.
  • C. Kumba
    Kumba is a renowned steel roller coaster at Busch Gardens Tampa Bay, famous for its intense inversions and smooth, high-speed layout.
  • D. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • E. Mukuzani
    Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
  • 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: Mijikenda
Triple: [Mombasa, ethnicGroup, Mijikenda]
Generated description
The Mijikenda are a collective of nine closely related Bantu ethnic groups living primarily along the coast of Kenya, known for their rich oral traditions, sacred kaya forests, and distinctive cultural practices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mijikenda
Target entity description: The Mijikenda are a collective of nine closely related Bantu ethnic groups living primarily along the coast of Kenya, known for their rich oral traditions, sacred kaya forests, and distinctive cultural practices.
  • A. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • B. Mizani
    Mizani is a professional haircare brand known for its salon-quality products formulated specifically for textured, curly, and coily hair.
  • C. Kumba
    Kumba is a renowned steel roller coaster at Busch Gardens Tampa Bay, famous for its intense inversions and smooth, high-speed layout.
  • D. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • E. Mukuzani
    Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc71f767481908dfa9be209ea3c5a completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9638ef948190adf945aba42fac76 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae96fc0b508190b1da6aa41cddc488 completed March 9, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ae977e539c81909cef638cc61e5ec1 completed March 9, 2026, 9:48 a.m.
Created at: March 4, 2026, 7:55 p.m.