Triple

T23026712
Position Surface form Disambiguated ID Type / Status
Subject Koung-Khi E573335 entity
Predicate administrativeCenter P1474 FINISHED
Object Bandjoun NE NERFINISHED

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: Bandjoun | Statement: [Koung-Khi, administrativeCenter, Bandjoun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandjoun
Context triple: [Koung-Khi, administrativeCenter, Bandjoun]
  • A. Bandjoun chosen
    Bandjoun is a major town and traditional cultural center in western Cameroon, known for its rich Bamileke heritage and royal chiefdom.
  • B. Lebou
    The Lebou are a coastal West African ethnic group primarily found around Dakar, Senegal, known historically as skilled fishermen and early urban settlers of the Cap-Vert Peninsula.
  • C. Bhamdoun
    Bhamdoun is a Lebanese mountain town and popular summer resort known for its scenic views, cool climate, and historic role as a holiday destination near Beirut.
  • D. Boucha
    Boucha is the surname of Henry Boucha, a notable American ice hockey player of Ojibwe heritage.
  • E. Saïdia
    Saïdia is a Moroccan coastal resort town on the Mediterranean Sea near the Algerian border, known for its long sandy beaches and tourism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847d7cb48190902169813c46a278 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:52 p.m.