Triple

T2425527
Position Surface form Disambiguated ID Type / Status
Subject Bonaire E53516 entity
Predicate recognizedLanguage P238 FINISHED
Object Papiamentu E8930 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: Papiamentu | Statement: [Bonaire, recognizedLanguage, Papiamentu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Papiamentu
Context triple: [Bonaire, recognizedLanguage, Papiamentu]
  • A. Papiamento chosen
    Papiamento is a creole language primarily spoken in the Caribbean islands of Aruba, Curaçao, and Bonaire, with communities of speakers also found in parts of Europe and the Americas.
  • B. Belizean Creole
    Belizean Creole is an English-based creole language widely spoken in Belize as a primary lingua franca and marker of national identity.
  • C. Dominican
    Dominican refers to a person from Dominica, an island nation in the Caribbean known for its lush rainforests and volcanic landscapes.
  • D. Caribbean Spanish
    Caribbean Spanish is a major regional variety of the Spanish language spoken in Caribbean countries and coastal areas, characterized by distinctive pronunciation, rhythm, and vocabulary.
  • E. Chavacano
    Chavacano is a Spanish-based creole language spoken in parts of the Philippines, particularly in Zamboanga City and other areas of Mindanao.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99a773c819092d5f3c297b83887 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf61088481909d79e822e4071456 completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:42 p.m.