Triple

T23130498
Position Surface form Disambiguated ID Type / Status
Subject Nzema E577152 entity
Predicate traditionalArea P14194 FINISHED
Object Nzema East NE NERFINISHED

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: Nzema East | Statement: [Nzema, traditionalArea, Nzema East]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nzema East
Context triple: [Nzema, traditionalArea, Nzema East]
  • A. Nzema East chosen
    Nzema East is a coastal municipal district in southwestern Ghana known for its fishing communities, oil and gas activities, and proximity to the Ivorian border.
  • B. Nzema West
    Nzema West is a traditional area of the Nzema people in the western coastal part of Ghana, known for its rich Akan-related culture and history.
  • C. Nzega District
    Nzega District is an administrative district in central Tanzania known for its rural communities and agriculture, located within the country’s Tabora Region.
  • D. Nkasi District
    Nkasi District is an administrative district in the Rukwa Region of western Tanzania, located along the shores of Lake Tanganyika.
  • E. Mberengwa District
    Mberengwa District is a rural administrative district in Zimbabwe’s Midlands Province, known for its scattered villages, mining activities, and subsistence agriculture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e87cd188190b466f7a4c9670e56 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.