Triple

T21341395
Position Surface form Disambiguated ID Type / Status
Subject Taita people E526200 entity
Predicate autonym P1435 FINISHED
Object Wataita NE NERFINISHED

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: Wataita | Statement: [Taita people, autonym, Wataita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wataita
Context triple: [Taita people, autonym, Wataita]
  • A. Wataita chosen
    Wataita are a Bantu-speaking ethnic group primarily inhabiting the Taita Hills region of southeastern Kenya, known for their terraced agriculture and rich cultural traditions.
  • B. Putāruru
    Putāruru is a small town in New Zealand’s North Island known for its timber industry and proximity to natural attractions such as the Blue Spring.
  • C. Kawakawa
    Kawakawa is a small rural town in New Zealand known for its distinctive Hundertwasser-designed public toilets and its role as a gateway to the Bay of Islands.
  • D. Tangowahine
    Tangowahine is a small rural locality in New Zealand’s Northland Region, situated within the Kaipara District.
  • E. Pātea
    Pātea is a small coastal town in South Taranaki, New Zealand, known for its historic freezing works and its strong Māori cultural heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5ba7ce3c8190ba5ded980a9866f2 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 4:44 p.m.