Triple

T7538391
Position Surface form Disambiguated ID Type / Status
Subject Central Banda E178208 entity
Predicate hasDialect P4251 FINISHED
Object Banda-Mbrès
Banda-Mbrès is a dialect of the Central Banda language spoken by Banda communities in the Central African Republic.
E672479 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: Banda-Mbrès | Statement: [Central Banda, hasDialect, Banda-Mbrès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banda-Mbrès
Context triple: [Central Banda, hasDialect, Banda-Mbrès]
  • A. Basse-Allaine
    Basse-Allaine is a municipality in the predominantly rural, French-speaking canton of Jura in northwestern Switzerland.
  • B. Riorges
    Riorges is a commune in central France, near Roanne in the Loire department, known for its residential character and local cultural life.
  • C. Sauldre
    Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
  • D. Meyrueis
    Meyrueis is a small commune in southern France’s Lozère department, known as a gateway to the Gorges de la Jonte and surrounding limestone plateaus in the Cévennes region.
  • E. Randogne
    Randogne is a former Swiss municipality in the canton of Valais that later became part of the resort area of Crans-Montana.
  • 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: Banda-Mbrès
Triple: [Central Banda, hasDialect, Banda-Mbrès]
Generated description
Banda-Mbrès is a dialect of the Central Banda language spoken by Banda communities in the Central African Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Banda-Mbrès
Target entity description: Banda-Mbrès is a dialect of the Central Banda language spoken by Banda communities in the Central African Republic.
  • A. Basse-Allaine
    Basse-Allaine is a municipality in the predominantly rural, French-speaking canton of Jura in northwestern Switzerland.
  • B. Riorges
    Riorges is a commune in central France, near Roanne in the Loire department, known for its residential character and local cultural life.
  • C. Sauldre
    Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
  • D. Meyrueis
    Meyrueis is a small commune in southern France’s Lozère department, known as a gateway to the Gorges de la Jonte and surrounding limestone plateaus in the Cévennes region.
  • E. Randogne
    Randogne is a former Swiss municipality in the canton of Valais that later became part of the resort area of Crans-Montana.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8710400819088e430c8c550577e completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f108aec81909b0738b6273d5bd3 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c853ef32288190bcd3c53242bfba25 completed March 28, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69c85458fa7481908809f46373445156 completed March 28, 2026, 10:21 p.m.
Created at: March 27, 2026, 3:48 p.m.