Triple

T11303340
Position Surface form Disambiguated ID Type / Status
Subject Aja language E267651 entity
Predicate hasGlottologName P6521 FINISHED
Object Aja (Benin)
Aja (Benin) is a Gbe language spoken primarily by the Aja people in southwestern Benin and neighboring regions.
 E916978 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: Aja (Benin) | Statement: [Aja language, hasGlottologName, Aja (Benin)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aja (Benin)
Context triple: [Aja language, hasGlottologName, Aja (Benin)]
  • A. Saint-Benin
    Saint-Benin is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
  • B. Wele-Nzas
    Wele-Nzas is a province in mainland Equatorial Guinea known for its forests, border location near Gabon and Cameroon, and the city of Mongomo.
  • C. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • D. Weija
    Weija is a suburban community in the Greater Accra Region of Ghana, known for the Weija Dam and its role in supplying water to Accra and surrounding areas.
  • E. Atakpamé
    Atakpamé is a major town in central Togo known as an important regional commercial and administrative center.
  • 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: Aja (Benin)
Triple: [Aja language, hasGlottologName, Aja (Benin)]
Generated description
Aja (Benin) is a Gbe language spoken primarily by the Aja people in southwestern Benin and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aja (Benin)
Target entity description: Aja (Benin) is a Gbe language spoken primarily by the Aja people in southwestern Benin and neighboring regions.
  • A. Saint-Benin
    Saint-Benin is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
  • B. Wele-Nzas
    Wele-Nzas is a province in mainland Equatorial Guinea known for its forests, border location near Gabon and Cameroon, and the city of Mongomo.
  • C. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • D. Weija
    Weija is a suburban community in the Greater Accra Region of Ghana, known for the Weija Dam and its role in supplying water to Accra and surrounding areas.
  • E. Atakpamé
    Atakpamé is a major town in central Togo known as an important regional commercial and administrative center.
  • 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_69e516bec3e481909cbd0d9c683d2191 completed April 19, 2026, 5:54 p.m.
Created at: April 8, 2026, 9:32 p.m.