Triple

T23449239
Position Surface form Disambiguated ID Type / Status
Subject Brong-Ahafo Region E567728 entity
Predicate largestCity P235 FINISHED
Object Sunyani 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: Sunyani | Statement: [Brong-Ahafo Region, largestCity, Sunyani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunyani
Context triple: [Brong-Ahafo Region, largestCity, Sunyani]
  • A. Sunyani chosen
    Sunyani is a prominent regional capital and commercial hub in central Ghana, known for its administrative importance and growing urban infrastructure.
  • B. Banjima
    Banjima is an Aboriginal Australian people traditionally associated with the Pilbara region of Western Australia, known for their distinct language and cultural heritage.
  • C. Dutsin-Ma
    Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
  • D. Nandom
    Nandom is a town and district capital in Ghana’s Upper West Region, known for its predominantly Dagara population and proximity to the Burkina Faso border.
  • E. Yonsa
    Yonsa is a county-level town in North Hamgyong Province, North Korea, known primarily as an administrative and local economic center in the country’s northeastern region.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64c1ee081908ba3adf5ce80d6a5 completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:52 p.m.