Triple

T21199182
Position Surface form Disambiguated ID Type / Status
Subject Kilifi County E522405 entity
Predicate capital P234 FINISHED
Object Kilifi
Kilifi is a coastal town in southeastern Kenya known for its beaches along the Indian Ocean and its role as an administrative and commercial center.
 E1471907 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: Kilifi | Statement: [Kilifi County, capital, Kilifi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kilifi
Context triple: [Kilifi County, capital, Kilifi]
  • A. Mombasa
    Mombasa is a major coastal city in Kenya known as a key regional port and historic trading hub on the Indian Ocean.
  • B. Babati
    Babati is a town in northern Tanzania that serves as an administrative and commercial hub near Lake Babati and the Tarangire National Park.
  • C. Msambweni
    Msambweni is a coastal town in southeastern Kenya known for its quiet beaches, fishing activities, and role as a local administrative and trading center.
  • D. Kisumu
    Kisumu is a major Kenyan city on the shores of Lake Victoria, serving as a key commercial and transport hub in western Kenya.
  • E. 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.
  • 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: Kilifi
Triple: [Kilifi County, capital, Kilifi]
Generated description
Kilifi is a coastal town in southeastern Kenya known for its beaches along the Indian Ocean and its role as an administrative and commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kilifi
Target entity description: Kilifi is a coastal town in southeastern Kenya known for its beaches along the Indian Ocean and its role as an administrative and commercial center.
  • A. Mombasa
    Mombasa is a major coastal city in Kenya known as a key regional port and historic trading hub on the Indian Ocean.
  • B. Babati
    Babati is a town in northern Tanzania that serves as an administrative and commercial hub near Lake Babati and the Tarangire National Park.
  • C. Msambweni
    Msambweni is a coastal town in southeastern Kenya known for its quiet beaches, fishing activities, and role as a local administrative and trading center.
  • D. Kisumu
    Kisumu is a major Kenyan city on the shores of Lake Victoria, serving as a key commercial and transport hub in western Kenya.
  • E. 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.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7342fe3a08190b7ed2cadf60091a8 completed April 21, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ecd1d1c819081a3a301701a11ae completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a09807278ac8190ae2835ce6d79a9cc completed May 17, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_6a09810158948190a9504d50c964efd9 completed May 17, 2026, 8:49 a.m.
Created at: April 16, 2026, 3:17 p.m.