Triple

T5429226
Position Surface form Disambiguated ID Type / Status
Subject Coast Province, Kenya E121441 entity
Predicate containsCity P294 FINISHED
Object Malindi
Malindi is a historic coastal town in southeastern Kenya known for its beaches, Swahili culture, and role as a former trading port on the Indian Ocean.
 E522404 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: Malindi | Statement: [Coast Province, Kenya, containsCity, Malindi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malindi
Context triple: [Coast Province, Kenya, containsCity, Malindi]
  • 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. Mambasa
    Mambasa is a town and administrative center located in the forested Ituri region of northeastern Democratic Republic of the Congo.
  • C. Umtentweni
    Umtentweni is a coastal resort town on South Africa’s KwaZulu-Natal South Coast, known for its beaches, subtropical climate, and relaxed holiday atmosphere.
  • D. Gombe
    Gombe is a region in western Tanzania best known for its national park where pioneering primatologist Jane Goodall conducted her landmark chimpanzee research.
  • E. Gombe
    Gombe is a major city in northeastern Nigeria that serves as the capital and economic hub of Gombe State.
  • 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: Malindi
Triple: [Coast Province, Kenya, containsCity, Malindi]
Generated description
Malindi is a historic coastal town in southeastern Kenya known for its beaches, Swahili culture, and role as a former trading port on the Indian Ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malindi
Target entity description: Malindi is a historic coastal town in southeastern Kenya known for its beaches, Swahili culture, and role as a former trading port on the Indian Ocean.
  • 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. Mambasa
    Mambasa is a town and administrative center located in the forested Ituri region of northeastern Democratic Republic of the Congo.
  • C. Umtentweni
    Umtentweni is a coastal resort town on South Africa’s KwaZulu-Natal South Coast, known for its beaches, subtropical climate, and relaxed holiday atmosphere.
  • D. Gombe
    Gombe is a region in western Tanzania best known for its national park where pioneering primatologist Jane Goodall conducted her landmark chimpanzee research.
  • E. Gombe
    Gombe is a major city in northeastern Nigeria that serves as the capital and economic hub of Gombe State.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd883d1bfc8190859bb05cfab065c8 completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf487db2bc81908822d3adadaff0dd completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf497a88b48190b87bf175fe224211 completed March 22, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf4a1f6e1c8190a9ae94e45fb16cf9 completed March 22, 2026, 1:47 a.m.
Created at: March 20, 2026, 2:06 p.m.