Triple

T16831
Position Surface form Disambiguated ID Type / Status
Subject North America E335 entity
Predicate hasCountry P846 FINISHED
Object Jamaica E7421 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: Jamaica | Statement: [North America, hasCountry, Jamaica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamaica
Context triple: [North America, hasCountry, Jamaica]
  • A. Jamaica chosen
    Jamaica is a Caribbean island nation known for its vibrant culture, reggae music, and tropical landscapes.
  • B. Bahamas
    The Bahamas is an island country in the Atlantic Ocean, known for its tropical climate, coral-based archipelago, and status as a popular tourist and offshore financial center.
  • C. Cayman Islands
    The Cayman Islands is a British Overseas Territory in the western Caribbean Sea known as a major offshore financial center and popular tropical tourist destination.
  • D. Haiti
    Haiti is a Caribbean nation on the island of Hispaniola known for its rich Afro-Caribbean culture, history as the first independent Black republic, and frequent vulnerability to natural disasters.
  • E. Turks and Caicos Islands
    The Turks and Caicos Islands is a British Overseas Territory in the Atlantic Ocean known for its luxury tourism, coral reefs, and pristine white-sand beaches.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a2465c52d8819082bb02b8b539d6ab completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c13d2ac8190a72d174282dfad9d completed Feb. 28, 2026, 4:16 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.