Triple

T19790655
Position Surface form Disambiguated ID Type / Status
Subject Temeke E475399 entity
Predicate contains P35 FINISHED
Object Kigamboni (former part) 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: Kigamboni (former part) | Statement: [Temeke, contains, Kigamboni (former part)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kigamboni (former part)
Context triple: [Temeke, contains, Kigamboni (former part)]
  • A. Kigamboni chosen
    Kigamboni is a coastal district of Dar es Salaam in Tanzania, known for its beaches, port facilities, and rapidly growing urban and residential developments.
  • B. Gikondo sector
    Gikondo sector is an urban administrative area within Kigali, Rwanda, known for its mix of residential neighborhoods, commercial activity, and light industry.
  • C. Kwimba District
    Kwimba District is an administrative district in northern Tanzania known for its predominantly rural communities and agriculture-based economy within the Mwanza Region.
  • D. Rusizi District
    Rusizi District is an administrative district in western Rwanda, located along the border with the Democratic Republic of the Congo across Lake Kivu.
  • E. Bugesera District
    Bugesera District is an administrative district in Rwanda’s Eastern Province, known for its rural landscape, agriculture, and proximity to the capital city Kigali.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c217bc819092c517b27ca22087 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.