Triple

T11303591
Position Surface form Disambiguated ID Type / Status
Subject Meru language E267657 entity
Predicate region P40 FINISHED
Object Mount Kenya region E871858 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: [Meru language, region, Mount Kenya region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Kenya region
Context triple: [Meru language, region, Mount Kenya region]
  • A. Kenyan highlands chosen
    The Kenyan highlands are a fertile, elevated region of Kenya known for their cool climate, intensive agriculture, and dense rural population.
  • B. Nyanga Highlands
    Nyanga Highlands is a mountainous region in eastern Zimbabwe known for its scenic landscapes, cool climate, and popular hiking and holiday resorts.
  • C. 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.
  • D. 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.
  • E. Kigezi Highlands
    The Kigezi Highlands are a mountainous region in southwestern Uganda known for their steep terraced hills, cool climate, and rich biodiversity, including habitats for endangered mountain gorillas.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e542df01fc81908539407e20543002 completed April 19, 2026, 9:02 p.m.
Created at: April 8, 2026, 9:32 p.m.