Triple

T12929158
Position Surface form Disambiguated ID Type / Status
Subject Kikuyu people E309326 entity
Predicate traditionalDeity P5606 FINISHED
Object Ngai E919602 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: Ngai | Statement: [Kikuyu people, traditionalDeity, Ngai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngai
Context triple: [Kikuyu people, traditionalDeity, Ngai]
  • A. Ngai chosen
    Ngai is the supreme creator god in Kikuyu and several other East African traditional belief systems, associated with the sky, rain, and Mount Kenya.
  • B. Runga
    Runga are an ethnic group primarily found in the Central African Republic, Chad, and Sudan, known for their distinct language and cultural traditions.
  • C. Te Kā
    Te Kā is the fiery lava demon and corrupted form of the goddess Te Fiti who serves as the main antagonist in Disney's animated film "Moana."
  • D. Ōhinehou
    Ōhinehou is the traditional Māori name for the port town of Lyttelton in Canterbury, New Zealand.
  • E. Onerahi
    Onerahi is a coastal suburb of Whangārei in Northland, New Zealand, known for its harbour views and proximity to Whangārei Airport.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971ec72a48190aceef10630603d2c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af687f548190b70ac8fa9bbbd414 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:42 p.m.