Triple

T9918799
Position Surface form Disambiguated ID Type / Status
Subject Ada Foah E185936 entity
Predicate languageSpoken P151 FINISHED
Object Dangme E617322 NE FINISHED

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: Dangme | Statement: [Ada Foah, languageSpoken, Dangme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dangme
Context triple: [Ada Foah, languageSpoken, Dangme]
  • A. Dangme chosen
    Dangme is a Kwa language spoken primarily by the Dangme people in southeastern Ghana.
  • 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. Obuasi
    Obuasi is a major Ghanaian mining town renowned for its large gold deposits and historic gold mine.
  • E. Kpone
    Kpone is a coastal town in the Greater Accra Region of Ghana, traditionally inhabited by the Ga-Adangbe people and known for its growing industrial and residential development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5685a908190ab3e55b9bf9613f6 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dec42848190ab9f8663155df83f completed April 5, 2026, 7:23 a.m.
Created at: March 30, 2026, 8:42 p.m.