Triple

T9918905
Position Surface form Disambiguated ID Type / Status
Subject Dangme people E185939 entity
Predicate language P15 FINISHED
Object Dangme language E155049 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 language | Statement: [Dangme people, language, Dangme language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dangme language
Context triple: [Dangme people, language, Dangme language]
  • A. Dangme language chosen
    The Dangme language is a Niger-Congo language spoken primarily by the Dangme people of southeastern Ghana, closely related to Ga and used in both everyday communication and local cultural practices.
  • B. Ga–Dangme languages
    The Ga–Dangme languages are a closely related group of Niger-Congo languages spoken primarily in southeastern Ghana by the Ga and Dangme peoples.
  • C. Fante language
    Fante language is a major dialect of the Akan language spoken primarily by the Fante people in coastal Ghana.
  • D. Dagbani language
    Dagbani is a major Gur language of northern Ghana, spoken primarily by the Dagomba people and used widely in education, media, and regional communication.
  • E. Sefwi language
    The Sefwi language is a Niger-Congo language spoken primarily by the Sefwi people in western Ghana.
  • 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_69d20df77f208190b550b888bf7b55ea completed April 5, 2026, 7:23 a.m.
Created at: March 30, 2026, 8:42 p.m.