Triple

T19790362
Position Surface form Disambiguated ID Type / Status
Subject Dar es Salaam Region E475392 entity
Predicate contains P35 FINISHED
Object Temeke 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: Temeke District | Statement: [Dar es Salaam Region, contains, Temeke District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temeke District
Context triple: [Dar es Salaam Region, contains, Temeke District]
  • A. Temeke District chosen
    Temeke District is an administrative district in Dar es Salaam, Tanzania, known for its bustling port-related activities, dense urban neighborhoods, and industrial areas.
  • B. Simanjiro District
    Simanjiro District is a largely rural, Maasai-inhabited administrative district in northern Tanzania known for its pastoralism, wildlife areas, and growing mining activities.
  • C. Makonde District
    Makonde District is an administrative district located in Zimbabwe's Mashonaland West Province, known for its agricultural activities and rural communities.
  • D. Uvinza District
    Uvinza District is an administrative district in western Tanzania known for its salt production and location along the Central Railway line.
  • E. Kyankwanzi District
    Kyankwanzi District is a rural administrative district in central Uganda known for agriculture and cattle-keeping.
  • 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.