Triple

T10490401
Position Surface form Disambiguated ID Type / Status
Subject Maasai E247401 entity
Predicate hasDialects P4251 FINISHED
Object Tanzanian 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: Tanzanian Maasai | Statement: [Maasai, hasDialects, Tanzanian Maasai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanzanian Maasai
Context triple: [Maasai, hasDialects, Tanzanian Maasai]
  • A. Maasai chosen
    Maasai is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
  • B. Chagga people
    The Chagga people are a Bantu-speaking ethnic group of farmers and traders primarily known for inhabiting the fertile slopes of Mount Kilimanjaro in northern Tanzania.
  • C. Wilyakali people
    The Wilyakali people are an Aboriginal Australian group traditionally associated with the arid inland region around Broken Hill in far western New South Wales.
  • D. 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.
  • E. Shangani people
    The Shangani people are a Tsonga-speaking ethnic group of southern Africa, primarily found in parts of Zimbabwe, Mozambique, and South Africa, known for their distinct language, cultural traditions, and history of migration and resistance.
  • 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_69d94b0d05a88190be036a6e4ab374a7 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:23 p.m.