Triple

T14591021
Position Surface form Disambiguated ID Type / Status
Subject Kilwa Kisiwani E342441 entity
Predicate partOf P40 FINISHED
Object Kilwa District E342440 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: Kilwa District | Statement: [Kilwa Kisiwani, partOf, Kilwa District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kilwa District
Context triple: [Kilwa Kisiwani, partOf, Kilwa District]
  • A. Kilwa District chosen
    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.
  • B. Ngora District
    Ngora District is an administrative district in eastern Uganda, predominantly inhabited by the Iteso people and known for its agricultural economy.
  • C. Uvinza District
    Uvinza District is an administrative district in western Tanzania known for its salt production and location along the Central Railway line.
  • D. Mwenezi District
    Mwenezi District is a largely rural administrative district in southern Zimbabwe known for its cattle ranching, sugar estates, and semi-arid landscapes.
  • E. Makonde District
    Makonde District is an administrative district located in Zimbabwe's Mashonaland West Province, known for its agricultural activities and rural communities.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4249af08190962009741d1f7d41 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3017808190a44087056ba6a472 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 1:24 a.m.