Triple

T14248654
Position Surface form Disambiguated ID Type / Status
Subject OAS member states E353198 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: [OAS member states, includes, Guyana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guyana
Context triple: [OAS member states, 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. Güines
    Güines is a town and municipality in western Cuba known historically as an important agricultural and sugar-producing center southeast of Havana.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6295ef9081909cfb0c1283bca21a completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3256026c8190814dd8ccd79c4b53 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:08 a.m.