Triple

T19204132
Position Surface form Disambiguated ID Type / Status
Subject Kinondoni E480186 entity
Predicate contains P35 FINISHED
Object Kinondoni Ward NE NERFINISHED

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: Kinondoni Ward | Statement: [Kinondoni, contains, Kinondoni Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinondoni Ward
Context triple: [Kinondoni, contains, Kinondoni Ward]
  • A. Mbare
    Mbare is one of the oldest and most densely populated townships in Harare, Zimbabwe, known as a major transport hub and bustling market area.
  • B. Mathare
    Mathare is a densely populated informal settlement and neighborhood in Nairobi, Kenya, known for its extensive slums and socio-economic challenges.
  • C. Nairobi West
    Nairobi West is a residential and commercial neighborhood in Nairobi, Kenya, known for its proximity to the city center and mixed middle-income housing.
  • D. Kinondoni Municipal Council
    Kinondoni Municipal Council is the local government authority responsible for administering public services, development planning, and governance in the Kinondoni district of Dar es Salaam, Tanzania.
  • E. Kinondoni chosen
    Kinondoni is a major urban district within Dar es Salaam, Tanzania, known for its dense population, commercial activity, and diverse residential neighborhoods.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f99b37c081908c13e0b4cca52aa4 completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:16 p.m.