Triple

T8540810
Position Surface form Disambiguated ID Type / Status
Subject Nairobi County E202188 entity
Predicate contains P35 FINISHED
Object Dagoretti
Dagoretti is a residential and commercial area in western Nairobi known for its mixed urban-rural character and vibrant local markets.
 E741123 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: Dagoretti | Statement: [Nairobi County, contains, Dagoretti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dagoretti
Context triple: [Nairobi County, contains, Dagoretti]
  • A. Alego Kogelo
    Alego Kogelo is a rural village in western Kenya best known internationally as the ancestral home of former U.S. President Barack Obama’s family.
  • B. Ngozi Olejeme
    Ngozi Olejeme is a Nigerian politician and businesswoman known for her roles in public service and involvement in national development initiatives.
  • C. Oshindali
    Oshindali is a regional dialect of the Oshiwambo language spoken primarily by communities in northern Namibia and southern Angola.
  • D. Nakate
    Nakate is a Ugandan surname most prominently associated with climate activist Vanessa Nakate.
  • E. Joseph Gikatilla
    Joseph Gikatilla was a prominent 13th-century Spanish Kabbalist and author whose works, such as "Ginnat Egoz" and "Sha'arei Orah," systematized and popularized mystical interpretations of the Hebrew Bible and divine names.
  • 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: Dagoretti
Triple: [Nairobi County, contains, Dagoretti]
Generated description
Dagoretti is a residential and commercial area in western Nairobi known for its mixed urban-rural character and vibrant local markets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dagoretti
Target entity description: Dagoretti is a residential and commercial area in western Nairobi known for its mixed urban-rural character and vibrant local markets.
  • A. Alego Kogelo
    Alego Kogelo is a rural village in western Kenya best known internationally as the ancestral home of former U.S. President Barack Obama’s family.
  • B. Ngozi Olejeme
    Ngozi Olejeme is a Nigerian politician and businesswoman known for her roles in public service and involvement in national development initiatives.
  • C. Oshindali
    Oshindali is a regional dialect of the Oshiwambo language spoken primarily by communities in northern Namibia and southern Angola.
  • D. Nakate
    Nakate is a Ugandan surname most prominently associated with climate activist Vanessa Nakate.
  • E. Joseph Gikatilla
    Joseph Gikatilla was a prominent 13th-century Spanish Kabbalist and author whose works, such as "Ginnat Egoz" and "Sha'arei Orah," systematized and popularized mystical interpretations of the Hebrew Bible and divine names.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e10bc081909a7210c577b807fb completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6da3d65c819087ed6b46dfc35885 completed April 2, 2026, 1:22 p.m.
NEDg Description generation batch_69ce6ec3b080819082d64646d453541d completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fe928d48190824e7a94fea5cfc0 completed April 2, 2026, 1:32 p.m.
Created at: March 30, 2026, 6:18 p.m.