Triple

T15745944
Position Surface form Disambiguated ID Type / Status
Subject Naivasha E381720 entity
Predicate nearbySettlement P350 FINISHED
Object Naivasha Town Centre E381720 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: Naivasha Town Centre | Statement: [Naivasha, nearbySettlement, Naivasha Town Centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naivasha Town Centre
Context triple: [Naivasha, nearbySettlement, Naivasha Town Centre]
  • A. Times Tower, Nairobi
    Times Tower, Nairobi is a prominent high-rise office building in Kenya’s capital city, best known as the main headquarters of the Kenya Revenue Authority.
  • B. Kejetia Market
    Kejetia Market is one of West Africa’s largest open-air markets, a bustling commercial hub in Kumasi known for its dense maze of stalls and vibrant local trade.
  • C. 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.
  • D. Naivasha chosen
    Naivasha is a town in Kenya’s Rift Valley region known as a gateway to the nearby Lake Naivasha and surrounding wildlife and flower-farming areas.
  • E. Kasarani, Nairobi
    Kasarani, Nairobi is a residential and commercial district in northeastern Nairobi known for its sports facilities, educational institutions, and growing urban development.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502d72008190b4d13a6b3a12e467 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8307824881909ba85e4c3da65d28 completed May 9, 2026, 6:55 p.m.
Created at: April 10, 2026, 4:46 a.m.