Triple

T9841728
Position Surface form Disambiguated ID Type / Status
Subject Baithak Gana E239241 entity
Predicate region P40 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: [Baithak Gana, region, Guyana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guyana
Context triple: [Baithak Gana, region, 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34e3420819084bb31170e643cd0 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5c066a08190baabf3141c10d9f3 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:33 p.m.