Triple

T3275692
Position Surface form Disambiguated ID Type / Status
Subject Guna language E68751 entity
Predicate region P40 FINISHED
Object Guna Yala E67831 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: Guna Yala | Statement: [Guna language, region, Guna Yala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guna Yala
Context triple: [Guna language, region, Guna Yala]
  • A. Guna Yala chosen
    Guna Yala is an indigenous comarca (autonomous territory) along Panama’s Caribbean coast, known for its Guna people, coral islands, and distinctive traditional culture.
  • B. Lapa
    Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
  • C. Marulanda
    Marulanda is a small municipality and town located in the Caldas Department of Colombia, known for its rural Andean landscapes and agricultural economy.
  • D. Ndyuka
    The Ndyuka are a Maroon people of Suriname and French Guiana, descended from escaped African slaves and known for their distinct language, culture, and semi-autonomous communities in the rainforest interior.
  • E. Caibiran
    Caibiran is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its natural springs and rural landscape.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0110f1c8190ae60708b686cbbf9 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8462a0c8190aba2330da6c49ecf completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.