Triple

T11302688
Position Surface form Disambiguated ID Type / Status
Subject Voltaic languages E267634 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Supyire
Supyire is a Niger-Congo language spoken primarily in southern Mali, known for its tonal system and classification within the Senufo branch of the Voltaic (Gur) languages.
E917984 NE FINISHED

How this triple was built (4 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: Supyire | Statement: [Voltaic languages, hasMemberLanguage, Supyire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Supyire
Context triple: [Voltaic languages, hasMemberLanguage, Supyire]
  • A. Pyr
    Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
  • B. Firiplaka
    Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
  • C. Pirathon
    Pirathon is an ancient town in the territory of Ephraim mentioned in the Hebrew Bible as the hometown and burial place of the judge Abdon.
  • D. Machaon
    Machaon is a figure from Greek mythology, renowned as a skilled healer and son of the legendary physician Asclepius.
  • E. Magath
    Magath is a German surname most notably associated with Felix Magath, a former professional footballer and successful Bundesliga coach.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Supyire
Triple: [Voltaic languages, hasMemberLanguage, Supyire]
Generated description
Supyire is a Niger-Congo language spoken primarily in southern Mali, known for its tonal system and classification within the Senufo branch of the Voltaic (Gur) languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Supyire
Target entity description: Supyire is a Niger-Congo language spoken primarily in southern Mali, known for its tonal system and classification within the Senufo branch of the Voltaic (Gur) languages.
  • A. Pyr
    Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
  • B. Firiplaka
    Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
  • C. Pirathon
    Pirathon is an ancient town in the territory of Ephraim mentioned in the Hebrew Bible as the hometown and burial place of the judge Abdon.
  • D. Machaon
    Machaon is a figure from Greek mythology, renowned as a skilled healer and son of the legendary physician Asclepius.
  • E. Magath
    Magath is a German surname most notably associated with Felix Magath, a former professional footballer and successful Bundesliga coach.
  • F. None of above. chosen

Provenance (5 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a57366081908a05fc52c5d4074c completed April 19, 2026, 5:01 p.m.
NEDg Description generation batch_69e510f9edb4819097e9fa1ce85504ed completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516ac8dec81909c9c1eece372189e completed April 19, 2026, 5:53 p.m.
Created at: April 8, 2026, 9:32 p.m.