Triple

T13580254
Position Surface form Disambiguated ID Type / Status
Subject Nanyuki E324393 entity
Predicate region P40 FINISHED
Object Mount Kenya region E1055417 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: Mount Kenya region | Statement: [Nanyuki, region, Mount Kenya region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Kenya region
Context triple: [Nanyuki, region, Mount Kenya region]
  • A. Kenyan highlands
    The Kenyan highlands are a fertile, elevated region of Kenya known for their cool climate, intensive agriculture, and dense rural population.
  • B. Mount Kenya Forest Reserve chosen
    Mount Kenya Forest Reserve is a protected montane forest ecosystem surrounding the slopes of Mount Kenya, recognized for its rich biodiversity and role as a vital water catchment area.
  • C. Nyanga Highlands
    Nyanga Highlands is a mountainous region in eastern Zimbabwe known for its scenic landscapes, cool climate, and popular hiking and holiday resorts.
  • D. Uluguru Mountains
    The Uluguru Mountains are a biodiverse mountain range in eastern Tanzania, renowned for their endemic species and role as a key water catchment area for the region.
  • E. Kilimanjaro Region
    Kilimanjaro Region is an administrative area in northeastern Tanzania best known for encompassing Africa’s highest peak, Mount Kilimanjaro, and serving as a major hub for tourism and agriculture.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03052088190a2b68c106059828e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b05c844c8190bb4b72d2400a6355 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:48 p.m.