Triple

T6755253
Position Surface form Disambiguated ID Type / Status
Subject Suriname River E154439 entity
Predicate hasMouthNear P350 FINISHED
Object Paramaribo E28396 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: Paramaribo | Statement: [Suriname River, hasMouthNear, Paramaribo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paramaribo
Context triple: [Suriname River, hasMouthNear, Paramaribo]
  • A. Paramaribo chosen
    Paramaribo is the capital and largest city of Suriname, known for its diverse population and historic colonial architecture along the Suriname River.
  • B. Georgetown, Guyana
    Georgetown, Guyana is the capital and largest city of Guyana, serving as the country’s political, economic, and cultural center.
  • C. Port of Spain
    Port of Spain is the capital city and main commercial and cultural center of Trinidad and Tobago, located on the northwest coast of the island of Trinidad.
  • D. Princes Town
    Princes Town is a historic town in southern Trinidad known for its colonial heritage, commercial activity, and role as a regional administrative and cultural center.
  • E. Basseterre
    Basseterre is the main urban, commercial, and administrative center of the Caribbean island nation of Saint Kitts and Nevis.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f465388190858207ca4c48f18d completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7881214488190914a3ee08fce359e completed March 28, 2026, 7:49 a.m.
Created at: March 27, 2026, 2:11 p.m.