Triple

T6610733
Position Surface form Disambiguated ID Type / Status
Subject Clarence Seedorf E149229 entity
Predicate placeOfBirth P1 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: [Clarence Seedorf, placeOfBirth, Paramaribo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paramaribo
Context triple: [Clarence Seedorf, placeOfBirth, 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af34d9188190a40f682f985b0bac completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e43f14148190882b9b8f2f95e22c completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:57 p.m.