Triple

T13363232
Position Surface form Disambiguated ID Type / Status
Subject Narok County E318871 entity
Predicate capital P234 FINISHED
Object Narok
Narok is a town in southwestern Kenya that serves as a key commercial and tourism gateway to the Maasai Mara region.
 E318871 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: Narok | Statement: [Narok County, capital, Narok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Narok
Context triple: [Narok County, capital, Narok]
  • A. 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.
  • B. Narok County
    Narok County is a county in southwestern Kenya known for its vast savannah landscapes, rich Maasai culture, and world-famous wildlife tourism.
  • C. Kisumu
    Kisumu is a major Kenyan city on the shores of Lake Victoria, serving as a key commercial and transport hub in western Kenya.
  • D. Isiolo
    Isiolo is a town in central Kenya that serves as a key transport and commercial hub linking the country’s northern regions with the rest of the nation.
  • E. Eldoret
    Eldoret is a major town in western Kenya known as an agricultural and commercial hub and as a center for world-class long-distance runners.
  • 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: Narok
Triple: [Narok County, capital, Narok]
Generated description
Narok is a town in southwestern Kenya that serves as a key commercial and tourism gateway to the Maasai Mara region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Narok
Target entity description: Narok is a town in southwestern Kenya that serves as a key commercial and tourism gateway to the Maasai Mara region.
  • A. 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.
  • B. Narok County chosen
    Narok County is a county in southwestern Kenya known for its vast savannah landscapes, rich Maasai culture, and world-famous wildlife tourism.
  • C. Kisumu
    Kisumu is a major Kenyan city on the shores of Lake Victoria, serving as a key commercial and transport hub in western Kenya.
  • D. Isiolo
    Isiolo is a town in central Kenya that serves as a key transport and commercial hub linking the country’s northern regions with the rest of the nation.
  • E. Eldoret
    Eldoret is a major town in western Kenya known as an agricultural and commercial hub and as a center for world-class long-distance runners.
  • F. None of above.

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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da628affd081909f1790d333f0eef4 completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8322ac8190a9830d9ca92f455f completed May 3, 2026, 2:36 p.m.
NEDg Description generation batch_69f75f4352d48190ab57ab8ee57dba13 completed May 3, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_69f75f9fced081909962a881e469d3c4 completed May 3, 2026, 2:45 p.m.
Created at: April 9, 2026, 9:32 p.m.