Triple

T10922429
Position Surface form Disambiguated ID Type / Status
Subject Coast Province E257980 entity
Predicate replacedBy P101 FINISHED
Object Kilifi County E522405 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: Kilifi County | Statement: [Coast Province, replacedBy, Kilifi County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kilifi County
Context triple: [Coast Province, replacedBy, Kilifi County]
  • A. Kilifi County chosen
    Kilifi County is an administrative region along Kenya’s Indian Ocean coast, known for its beaches, Swahili culture, and tourism-centered economy.
  • B. Mombasa County
    Mombasa County is a coastal administrative region of Kenya that encompasses the city of Mombasa and serves as a major hub for tourism, trade, and maritime activities along the Indian Ocean.
  • C. Kisumu County
    Kisumu County is a county in western Kenya along Lake Victoria, known as a major economic and political hub and the location of the city of Kisumu.
  • D. Kitui County
    Kitui County is a semi-arid administrative region in eastern Kenya known for its rural economy, coal deposits, and location between the coastal and central highland areas.
  • E. Migori County
    Migori County is an administrative region in southwestern Kenya known for its diverse ethnic communities, agriculture, and proximity to Lake Victoria and the Tanzanian border.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708d1fb88190bb33b72d4330ce11 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4acc9d60c819084e342076fe682fc completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:22 p.m.