Triple

T18963178
Position Surface form Disambiguated ID Type / Status
Subject Parliament of Tanzania complex, Dodoma E463960 entity
Predicate locatedIn P40 FINISHED
Object Dodoma Region 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: Dodoma Region | Statement: [Parliament of Tanzania complex, Dodoma, locatedIn, Dodoma Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dodoma Region
Context triple: [Parliament of Tanzania complex, Dodoma, locatedIn, Dodoma Region]
  • A. Dodoma Region chosen
    Dodoma Region is an administrative region in central Tanzania that includes the national capital city, Dodoma.
  • B. Arusha Region
    Arusha Region is an administrative region in northern Tanzania known for its tourism hub city of Arusha and proximity to major national parks and Mount Kilimanjaro.
  • C. Singida Region
    Singida Region is an administrative region in central Tanzania known for its semi-arid climate, agriculture, and role as a transport crossroads.
  • D. Pwani Region
    Pwani Region is a coastal administrative region in eastern Tanzania known for its Swahili culture, Indian Ocean shoreline, and proximity to Dar es Salaam.
  • E. Dar es Salaam Region
    Dar es Salaam Region is a coastal administrative region in eastern Tanzania that encompasses the country’s largest city and main economic hub.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d420f481909aa22a0d22ac4af1 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon