Triple

T23449201
Position Surface form Disambiguated ID Type / Status
Subject Obuasi Gold Mine E567727 entity
Predicate locatedIn P40 FINISHED
Object Obuasi 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: Obuasi | Statement: [Obuasi Gold Mine, locatedIn, Obuasi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obuasi
Context triple: [Obuasi Gold Mine, locatedIn, Obuasi]
  • A. Obuasi chosen
    Obuasi is a major Ghanaian mining town renowned for its large gold deposits and historic gold mine.
  • B. 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.
  • C. 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.
  • D. Atebubu
    Atebubu is a prominent market and administrative town in central Ghana, serving as a key commercial hub in the Bono East area.
  • E. Afadjato
    Afadjato is one of the highest and most popular mountains in Ghana, known for its scenic hiking trails and views over the Volta 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.