Triple

T16890149
Position Surface form Disambiguated ID Type / Status
Subject Kerio River E424147 entity
Predicate hasSourceRegion P410 FINISHED
Object Kenyan highlands 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: Kenyan highlands | Statement: [Kerio River, hasSourceRegion, Kenyan highlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenyan highlands
Context triple: [Kerio River, hasSourceRegion, Kenyan highlands]
  • 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. Rwandan highlands
    The Rwandan highlands are a mountainous region in central Africa characterized by rolling hills, fertile volcanic soils, and a temperate climate that supports dense rural settlement and intensive agriculture.
  • C. Lichenya Plateau
    Lichenya Plateau is a high, expansive upland area on Malawi’s Mount Mulanje, known for its scenic grasslands, forests, and hiking routes.
  • D. Burundi Highlands
    The Burundi Highlands are a mountainous region in central Burundi characterized by high plateaus, rugged terrain, and the country’s highest peaks.
  • E. Ngorongoro Highlands
    The Ngorongoro Highlands are a volcanic highland region in northern Tanzania known for their dramatic craters, rich wildlife, and Maasai pastoralist communities within the broader Ngorongoro ecosystem.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc3b5188190ac713b4d4166e961 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2c1eee48190bc906e658d7729a4 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.