Triple

T22719713
Position Surface form Disambiguated ID Type / Status
Subject central Ghana E561827 entity
Predicate includes P1393 FINISHED
Object Bono Region 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: Bono Region | Statement: [central Ghana, includes, Bono Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bono Region
Context triple: [central Ghana, includes, Bono Region]
  • A. Bono Region chosen
    The Bono Region is an administrative region in central Ghana known for its agricultural productivity, cultural heritage, and emerging urban centers such as Sunyani.
  • B. Niolo region
    The Niolo region is a mountainous interior area of central Corsica known for its high valleys, traditional pastoral culture, and dramatic landscapes around the upper Golo River.
  • C. Maekel Region
    Maekel Region is a central administrative region of Eritrea that includes the nation’s capital, Asmara, and serves as its political and economic hub.
  • D. Isaac Region
    Isaac Region is a local government area in central Queensland, Australia, known for its extensive coal mining operations and rural communities.
  • E. Bono East Region
    Bono East Region is an administrative region in central Ghana known for its agricultural activities, cultural diversity, and location within the forest–savannah transitional zone.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17910deb48190b38174e16868f3dd completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.