Triple

T23449271
Position Surface form Disambiguated ID Type / Status
Subject Brong-Ahafo Region E567728 entity
Predicate containsTown P847 FINISHED
Object Nkoranza 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: Nkoranza | Statement: [Brong-Ahafo Region, containsTown, Nkoranza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nkoranza
Context triple: [Brong-Ahafo Region, containsTown, Nkoranza]
  • A. Nkoranza chosen
    Nkoranza is a prominent town in central Ghana known as a key commercial and administrative center in the Bono East area.
  • B. Kpando
    Kpando is a town in Ghana’s Volta Region, known as a local commercial center near the Volta Lake.
  • C. Mampong
    Mampong is a prominent town and municipal center in Ghana known for its historical significance within the Ashanti cultural area and its role as an educational and agricultural hub.
  • D. Nkwanta
    Nkwanta is a town in northeastern Ghana that serves as an important local commercial and administrative center within the Oti Region.
  • E. Odukpani
    Odukpani is a local government area in southeastern Nigeria known for its diverse ethnic communities and proximity to the state capital, Calabar, in Cross River State.
  • 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.