Triple

T10909825
Position Surface form Disambiguated ID Type / Status
Subject Mutoko E257665 entity
Predicate administrativeUnitOf P3892 FINISHED
Object Mutoko District E871830 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: Mutoko District | Statement: [Mutoko, administrativeUnitOf, Mutoko District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mutoko District
Context triple: [Mutoko, administrativeUnitOf, Mutoko District]
  • A. Mutoko District chosen
    Mutoko District is an administrative district in northeastern Zimbabwe known for its rural communities, agriculture, and granite mining.
  • B. Mazabuka District
    Mazabuka District is an administrative district in southern Zambia known for its sugarcane production and centered around the town of Mazabuka.
  • C. Mpulungu District
    Mpulungu District is an administrative district in Zambia’s Northern Province, known for encompassing the lakeside town and port of Mpulungu on the shores of Lake Tanganyika.
  • 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. Mwinilunga District
    Mwinilunga District is a rural district in northwestern Zambia known for its lush forests, high rainfall, and location near the headwaters of major rivers including the Zambezi.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77068e5488190bbc881ebf51d6b2e completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e34455ea4c8190b6f2433f3f745b76 completed April 18, 2026, 8:44 a.m.
Created at: April 8, 2026, 9:22 p.m.