Triple

T22669513
Position Surface form Disambiguated ID Type / Status
Subject Nyeri, Kenya E559884 entity
Predicate locatedNear P294 FINISHED
Object Aberdare Range 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: Aberdare Range | Statement: [Nyeri, Kenya, locatedNear, Aberdare Range]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aberdare Range
Context triple: [Nyeri, Kenya, locatedNear, Aberdare Range]
  • A. Aberdare Range chosen
    The Aberdare Range is a high, forested mountain range in central Kenya known for its rich wildlife, scenic landscapes, and role as a key water catchment area.
  • B. Mafinga Hills
    Mafinga Hills is a mountainous region on the border of Zambia and Malawi, known as the location of Zambia’s highest peak and as a key watershed area.
  • C. Namosi Highlands
    The Namosi Highlands are a rugged, mountainous region in Fiji known for their lush rainforests, river valleys, and traditional Fijian villages.
  • D. 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.
  • E. Cherangani Hills
    Cherangani Hills is a forested highland range in western Kenya known for its rich biodiversity, important water catchment areas, and scenic hiking landscapes.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781ed50c8190a6943f51d7337b49 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:09 p.m.