Triple

T10490400
Position Surface form Disambiguated ID Type / Status
Subject Maasai E247401 entity
Predicate hasDialects P4251 FINISHED
Object Kenyan Maasai E247401 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: Kenyan Maasai | Statement: [Maasai, hasDialects, Kenyan Maasai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenyan Maasai
Context triple: [Maasai, hasDialects, Kenyan Maasai]
  • A. Maasai chosen
    Maasai is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
  • B. Meru people
    The Meru people are a Bantu ethnic group of central Kenya whose identity, traditions, and spiritual life are closely tied to the landscapes and sacred sites around Mount Kenya.
  • C. Kenyan Luo
    Kenyan Luo is a Nilotic ethnic group in western Kenya, primarily around Lake Victoria, known for its Dholuo language and rich cultural traditions in music, storytelling, and fishing.
  • D. Kisii people
    The Kisii people are a Bantu-speaking ethnic group in western Kenya known for their intensive farming, distinctive soapstone carvings, and rich cultural traditions.
  • E. Karamojong
    The Karamojong are a traditionally pastoralist Nilotic ethnic group from northeastern Uganda, known for their cattle herding culture and distinctive customs.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097d61e08190952d4354ef1bce52 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933c5caa08190a5fba92ebf4b0ff9 completed April 10, 2026, 5:30 p.m.
Created at: April 6, 2026, 12:23 p.m.