Triple

T19790657
Position Surface form Disambiguated ID Type / Status
Subject Temeke E475399 entity
Predicate borders P224 FINISHED
Object Kinondoni District 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 District | Statement: [Temeke, borders, Kinondoni District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinondoni District
Context triple: [Temeke, borders, Kinondoni District]
  • A. Kinondoni District chosen
    Kinondoni District is a populous urban district in Dar es Salaam, Tanzania, known as a major residential and commercial hub of the city.
  • B. Masindi District
    Masindi District is an administrative region in western Uganda known for its agricultural economy and proximity to major natural features, including the Victoria Nile and Murchison Falls National Park.
  • C. Makoni District
    Makoni District is an administrative district in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • D. Moyo District
    Moyo District is an administrative district in northwestern Uganda, known for its location near the border with South Sudan and its predominantly rural, agrarian communities.
  • E. Mwenezi District
    Mwenezi District is a largely rural administrative district in southern Zimbabwe known for its cattle ranching, sugar estates, and semi-arid landscapes.
  • 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.