Triple

T21665247
Position Surface form Disambiguated ID Type / Status
Subject Makonde E534696 entity
Predicate regionWithinTanzania P144920 FINISHED
Object Mtwara Region NE NERFINISHED

How this triple was built (3 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: Mtwara Region | Statement: [Makonde, regionWithinTanzania, Mtwara Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mtwara Region
Context triple: [Makonde, regionWithinTanzania, Mtwara Region]
  • A. Mtwara Region chosen
    Mtwara Region is a coastal administrative region in southeastern Tanzania known for its port on the Indian Ocean and proximity to the Mozambique border.
  • B. Iringa Region
    Iringa Region is an administrative area in south-central Tanzania known for its highland landscapes and as the gateway to Ruaha National Park, one of the country’s largest wildlife reserves.
  • C. Rukwa Region
    Rukwa Region is an administrative region in southwestern Tanzania known for its location along Lake Rukwa and its largely rural, agricultural economy.
  • D. Mbeya Region
    Mbeya Region is an administrative region in southwestern Tanzania known for its mountainous landscapes, agriculture, and role as a transport hub near the borders with Malawi and Zambia.
  • E. Kigoma Region
    Kigoma Region is a western Tanzanian administrative region along Lake Tanganyika, known for its biodiversity and as a center for primate research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionWithinTanzania
Context triple: [Makonde, regionWithinTanzania, Mtwara Region]
  • A. regionInUganda
    Indicates that a region or area is geographically located within the country of Uganda.
  • B. tanganyikaIndependenceYear
    Indicates the calendar year in which Tanganyika achieved political independence.
  • C. distanceFromMbabaneKilometers
    Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Mbabane.
  • D. formerColonialPowerTanganyika
    Indicates that the subject was the colonial ruling power over Tanganyika in the past.
  • E. partOfTransfrontierConservationArea
    Indicates that an entity is included within or belongs to a transfrontier conservation area that spans across national or regional boundaries.
  • F. None of above. chosen

Provenance (4 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0b26c8819092c13e59dcc3c25c completed April 27, 2026, 2 p.m.
PD Predicate disambiguation batch_69e696826c3c81909270791e79760937 completed April 20, 2026, 9:11 p.m.
PDg Predicate description generation batch_69e69b4aa2b48190830107391e81571a completed April 20, 2026, 9:31 p.m.
Created at: April 16, 2026, 6:36 p.m.