Triple

T7792436
Position Surface form Disambiguated ID Type / Status
Subject Banda people E180212 entity
Predicate language P15 FINISHED
Object Banda-Mbrès E672479 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: Banda-Mbrès | Statement: [Banda people, language, Banda-Mbrès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banda-Mbrès
Context triple: [Banda people, language, Banda-Mbrès]
  • A. Banda-Mbrès chosen
    Banda-Mbrès is a dialect of the Central Banda language spoken by Banda communities in the Central African Republic.
  • B. Basse-Allaine
    Basse-Allaine is a municipality in the predominantly rural, French-speaking canton of Jura in northwestern Switzerland.
  • C. Riorges
    Riorges is a commune in central France, near Roanne in the Loire department, known for its residential character and local cultural life.
  • D. Sauldre
    Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
  • E. 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.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae938714c8190b89917e6ded004da completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb13cdb4288190ae3cfe1ee4e3e496 completed March 31, 2026, 12:22 a.m.
Created at: March 30, 2026, 4:30 p.m.