Triple

T76267
Position Surface form Disambiguated ID Type / Status
Subject Caribbean E1523 entity
Predicate includes P1393 FINISHED
Object Guyana E28582 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: Guyana | Statement: [Caribbean, includes, Guyana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guyana
Context triple: [Caribbean, includes, Guyana]
  • A. Suriname
    Suriname is a small, ethnically diverse country on the northeastern coast of South America, known for its tropical rainforests, Dutch colonial heritage, and status as the continent’s only Dutch-speaking nation.
  • B. Grenada
    Grenada is a small Caribbean island nation known for its spice production, picturesque beaches, and lush mountainous interior.
  • C. British Guiana chosen
    British Guiana was a former British colony on the northern coast of South America, known today as the independent nation of Guyana.
  • D. Trinidad and Tobago
    Trinidad and Tobago is a twin-island Caribbean nation known for its rich cultural diversity, vibrant Carnival celebrations, and significant oil and natural gas resources.
  • E. Venezuela
    Venezuela is a South American country known for its vast oil reserves, diverse landscapes ranging from Caribbean coastlines to Andean mountains and Amazon rainforest, and its Spanish-speaking population.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f1d20b88190b66836cc018e52e1 completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a373691e348190b18f8019183469dc completed Feb. 28, 2026, 10:59 p.m.
Created at: Feb. 28, 2026, 2:06 a.m.