Triple

T19096494
Position Surface form Disambiguated ID Type / Status
Subject Moi Air Base E467418 entity
Predicate locatedNear P294 FINISHED
Object Eastleigh, Nairobi NE NERFINISHED

How this triple was built (3 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: Eastleigh, Nairobi | Statement: [Moi Air Base, locatedNear, Eastleigh, Nairobi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastleigh, Nairobi
Context triple: [Moi Air Base, locatedNear, Eastleigh, Nairobi]
  • A. 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.
  • B. Kasarani, Nairobi
    Kasarani, Nairobi is a residential and commercial district in northeastern Nairobi known for its sports facilities, educational institutions, and growing urban development.
  • C. Central Business District of Nairobi
    The Central Business District of Nairobi is the city’s primary commercial and administrative hub, characterized by high-rise offices, major banks, government institutions, and dense urban activity.
  • D. Madaraka, Nairobi
    Madaraka is a residential and educational neighborhood in Nairobi, Kenya, known for hosting institutions such as Strathmore University and its proximity to the city center.
  • E. State House, Nairobi
    State House, Nairobi is the official residence and office of the President of Kenya, located in the capital city of Nairobi.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eastleigh, Nairobi
Target entity description: Eastleigh, Nairobi is a densely populated and commercially vibrant neighborhood in Nairobi, Kenya, known for its large Somali community and bustling trade.
  • A. 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.
  • B. Kasarani, Nairobi
    Kasarani, Nairobi is a residential and commercial district in northeastern Nairobi known for its sports facilities, educational institutions, and growing urban development.
  • C. Central Business District of Nairobi
    The Central Business District of Nairobi is the city’s primary commercial and administrative hub, characterized by high-rise offices, major banks, government institutions, and dense urban activity.
  • D. Madaraka, Nairobi
    Madaraka is a residential and educational neighborhood in Nairobi, Kenya, known for hosting institutions such as Strathmore University and its proximity to the city center.
  • E. State House, Nairobi
    State House, Nairobi is the official residence and office of the President of Kenya, located in the capital city of Nairobi.
  • F. None of above. chosen

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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e369aeac81908913c21f4c234c8e completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.