Triple

T8651229
Position Surface form Disambiguated ID Type / Status
Subject Madaraka, Nairobi E205102 entity
Predicate near P350 FINISHED
Object Nairobi city centre E752773 NE FINISHED

How this triple was built (2 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: Nairobi city centre | Statement: [Madaraka, Nairobi, near, Nairobi city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nairobi city centre
Context triple: [Madaraka, Nairobi, near, Nairobi city centre]
  • A. Central Business District of Nairobi chosen
    The Central Business District of Nairobi is the city’s primary commercial and administrative hub, characterized by high-rise offices, major banks, government institutions, and dense urban activity.
  • B. Eastlands, Nairobi
    Eastlands, Nairobi is a densely populated, predominantly low- to middle-income urban area in eastern Nairobi known for its large residential estates, informal settlements, and vibrant local commerce.
  • C. Kasarani, Nairobi
    Kasarani, Nairobi is a residential and commercial district in northeastern Nairobi known for its sports facilities, educational institutions, and growing urban development.
  • D. Nairobi
    Nairobi is the capital and largest city of Kenya, serving as a major political, economic, and cultural hub in East Africa.
  • E. Nairobi
    Nairobi is a fan-favorite character from the Spanish series "Money Heist," known for her sharp leadership, optimism, and expertise in overseeing the gang’s money-printing operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48150e6c8190a7a3b92b4b640858 completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfb9f8cce48190b02f3237be91590e completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:29 p.m.