Triple

T15612305
Position Surface form Disambiguated ID Type / Status
Subject Manyara Region E375327 entity
Predicate contains P35 FINISHED
Object Babati District E1166041 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: Babati District | Statement: [Manyara Region, contains, Babati District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babati District
Context triple: [Manyara Region, contains, Babati District]
  • A. Ilemela District
    Ilemela District is an administrative district and urban area within Tanzania’s Mwanza Region, encompassing part of the city of Mwanza along the shores of Lake Victoria.
  • B. Kilwa District
    Kilwa District is an administrative district in Tanzania’s Lindi Region that includes the historic Swahili coastal settlement and UNESCO World Heritage Site of Kilwa Kisiwani.
  • C. Mutasa District
    Mutasa District is an administrative district in eastern Zimbabwe known for its mountainous terrain, tea and coffee estates, and location within Manicaland Province.
  • D. Babati chosen
    Babati is a town in northern Tanzania that serves as an administrative and commercial hub near Lake Babati and the Tarangire National Park.
  • E. Uvinza District
    Uvinza District is an administrative district in western Tanzania known for its salt production and location along the Central Railway line.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8148a0819087d6d69cc84487ca completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff875bb0808190a6a4e3b47b524689 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:13 a.m.