Triple

T13374769
Position Surface form Disambiguated ID Type / Status
Subject William Ruto E319155 entity
Predicate residence P75 FINISHED
Object State House, Nairobi E749932 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: State House, Nairobi | Statement: [William Ruto, residence, State House, Nairobi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State House, Nairobi
Context triple: [William Ruto, residence, State House, Nairobi]
  • A. State House, Nairobi chosen
    State House, Nairobi is the official residence and office of the President of Kenya, located in the capital city of Nairobi.
  • B. Parliament Buildings, Nairobi
    Parliament Buildings, Nairobi is the historic complex in Kenya’s capital that houses the country’s national legislature and serves as a central symbol of its parliamentary democracy.
  • C. Harambee House, Nairobi
    Harambee House in Nairobi is a key government building that houses the Office of the President of Kenya and serves as a central venue for high-level state meetings.
  • D. Nairobi City Hall
    Nairobi City Hall is the main administrative headquarters and iconic municipal building of Nairobi, Kenya’s capital.
  • E. Eastlands, Nairobi
    Eastlands, Nairobi is a densely populated, predominantly low- to middle-income urban area in eastern Nairobi known for its large residential estates, informal settlements, and vibrant local commerce.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcda64a48190b53243a763cd175b completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306a4c688190bfbf5e695b2fd5e5 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:33 p.m.