Triple

T14820152
Position Surface form Disambiguated ID Type / Status
Subject Lindi Region E348427 entity
Predicate borderedBy P224 FINISHED
Object Mtwara Region E1058060 NE FINISHED

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: Mtwara Region | Statement: [Lindi Region, borderedBy, Mtwara Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mtwara Region
Context triple: [Lindi Region, borderedBy, 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.

Provenance (3 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe4cf38819090f25ef045351d5d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389bc06c8190a8269c07677d9c35 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:50 a.m.