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.