Triple

T10021515
Position Surface form Disambiguated ID Type / Status
Subject Kenyatta University Senate E200618 entity
Predicate location P40 FINISHED
Object Nairobi Metropolitan Region E216466 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: Nairobi Metropolitan Region | Statement: [Kenyatta University Senate, location, Nairobi Metropolitan Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nairobi Metropolitan Region
Context triple: [Kenyatta University Senate, location, Nairobi Metropolitan Region]
  • A. Nairobi Metropolitan Region chosen
    Nairobi Metropolitan Region is the expansive urban and economic area centered on Kenya’s capital, Nairobi, encompassing the city and its surrounding counties and towns.
  • B. Nairobi County
    Nairobi County is Kenya's capital and largest urban and economic hub, encompassing the city of Nairobi and serving as the country's primary center for government, commerce, and international connectivity.
  • C. Nairobi West
    Nairobi West is a residential and commercial neighborhood in Nairobi, Kenya, known for its proximity to the city center and mixed middle-income housing.
  • D. Nairobi
    Nairobi is the capital and largest city of Kenya, serving as a major political, economic, and cultural hub in East Africa.
  • E. Nairobi
    Nairobi is a fan-favorite character from the Spanish series "Money Heist," known for her sharp leadership, optimism, and expertise in overseeing the gang’s money-printing operations.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd79485881909df562bfff36ccf4 completed April 2, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d30020305c81909c4fb01291c70cb6 completed April 6, 2026, 12:36 a.m.
Created at: March 30, 2026, 8:53 p.m.