Triple

T1332472
Position Surface form Disambiguated ID Type / Status
Subject Ndyuka language E28673 entity
Predicate spokenIn P2266 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: [Ndyuka language, spokenIn, Paramaribo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paramaribo
Context triple: [Ndyuka language, spokenIn, 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. Basseterre
    Basseterre is the main urban, commercial, and administrative center of the Caribbean island nation of Saint Kitts and Nevis.
  • E. Ciudad Guayana
    Ciudad Guayana is a major industrial city in eastern Venezuela, known for its steel and aluminum production and its strategic location at the confluence of the Orinoco and Caroní rivers.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1e7f1388190a6e4eb65a7997380 completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce641c6481908a3d2b9e9fc423d7 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:55 p.m.