Triple

T16777996
Position Surface form Disambiguated ID Type / Status
Subject Kiambu Road E407778 entity
Predicate connects P390 FINISHED
Object Kiambu town
Kiambu town is a rapidly growing urban center in Kiambu County, Kenya, located just north of Nairobi and serving as a key commercial and residential hub for the surrounding region.
E1233722 NE FINISHED

How this triple was built (4 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: Kiambu town | Statement: [Kiambu Road, connects, Kiambu town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiambu town
Context triple: [Kiambu Road, connects, Kiambu town]
  • A. Thika
    Thika is a major industrial and commercial town in central Kenya, known for its manufacturing sector and proximity to Nairobi.
  • B. Kisumu
    Kisumu is a major Kenyan city on the shores of Lake Victoria, serving as a key commercial and transport hub in western Kenya.
  • C. Kitale
    Kitale is a town in western Kenya that serves as an important agricultural and commercial center near the slopes of Mount Elgon.
  • D. Kabete
    Kabete is a prominent town in Kenya’s Central Region, situated within Kiambu County and known for its agricultural activity and proximity to Nairobi.
  • E. Nakuru
    Nakuru is a prominent Kenyan city in the Rift Valley region, known for its proximity to Lake Nakuru National Park and its role as an important agricultural and commercial center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kiambu town
Triple: [Kiambu Road, connects, Kiambu town]
Generated description
Kiambu town is a rapidly growing urban center in Kiambu County, Kenya, located just north of Nairobi and serving as a key commercial and residential hub for the surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kiambu town
Target entity description: Kiambu town is a rapidly growing urban center in Kiambu County, Kenya, located just north of Nairobi and serving as a key commercial and residential hub for the surrounding region.
  • A. Thika
    Thika is a major industrial and commercial town in central Kenya, known for its manufacturing sector and proximity to Nairobi.
  • B. Kisumu
    Kisumu is a major Kenyan city on the shores of Lake Victoria, serving as a key commercial and transport hub in western Kenya.
  • C. Kitale
    Kitale is a town in western Kenya that serves as an important agricultural and commercial center near the slopes of Mount Elgon.
  • D. Kabete
    Kabete is a prominent town in Kenya’s Central Region, situated within Kiambu County and known for its agricultural activity and proximity to Nairobi.
  • E. Nakuru
    Nakuru is a prominent Kenyan city in the Rift Valley region, known for its proximity to Lake Nakuru National Park and its role as an important agricultural and commercial center.
  • F. None of above. chosen

Provenance (5 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b212fc248190a8fe1124853bf16d completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab00cf708190a2562fa14d72a4df completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00ad66a9a88190983eee72f9d23e37 completed May 10, 2026, 4:08 p.m.
NED2 Entity disambiguation (via description) batch_6a00addf7674819084f5755c2dacc741 completed May 10, 2026, 4:10 p.m.
Created at: April 10, 2026, 5:22 a.m.