Triple

T20954334
Position Surface form Disambiguated ID Type / Status
Subject Kamiriithu E516060 entity
Predicate partOf P40 FINISHED
Object Limuru area 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: Limuru area | Statement: [Kamiriithu, partOf, Limuru area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limuru area
Context triple: [Kamiriithu, partOf, Limuru area]
  • A. Limuru chosen
    Limuru is a highland town in central Kenya known for its cool climate, tea plantations, and proximity to Nairobi.
  • B. Ilemela District
    Ilemela District is an administrative district and urban area within Tanzania’s Mwanza Region, encompassing part of the city of Mwanza along the shores of Lake Victoria.
  • C. Ngora District
    Ngora District is an administrative district in eastern Uganda, predominantly inhabited by the Iteso people and known for its agricultural economy.
  • D. Kama District
    Kama District is an administrative district in eastern Afghanistan, located within Nangarhar Province and known for its predominantly rural communities.
  • E. Milingimbi area
    The Milingimbi area is a region in Arnhem Land in Australia’s Northern Territory, known as a significant homeland for Yolŋu peoples and a center of rich Indigenous cultural and linguistic traditions.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fae154a481909f235165a46d0910 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 1:28 p.m.