Triple

T10043481
Position Surface form Disambiguated ID Type / Status
Subject Berbice River E205352 entity
Predicate hasEstuaryNear P28855 FINISHED
Object New Amsterdam, Guyana E837619 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: New Amsterdam, Guyana | Statement: [Berbice River, hasEstuaryNear, New Amsterdam, Guyana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Amsterdam, Guyana
Context triple: [Berbice River, hasEstuaryNear, New Amsterdam, Guyana]
  • A. New Amsterdam, Guyana chosen
    New Amsterdam, Guyana is a historic coastal town and regional administrative center in eastern Guyana, known for its colonial-era architecture and role as a key port and commercial hub.
  • B. Georgetown, Guyana
    Georgetown, Guyana is the capital and largest city of Guyana, serving as the country’s political, economic, and cultural center.
  • C. Berbice
    Berbice was a former Dutch and later British colony on the northern coast of South America, in what is now part of Guyana.
  • D. Paramaribo
    Paramaribo is the capital and largest city of Suriname, known for its diverse population and historic colonial architecture along the Suriname River.
  • E. Lethem
    Lethem is the surname of Jonathan Lethem, an American novelist known for blending elements of science fiction, detective fiction, and literary fiction.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf60a2208190846e57b5f5649307 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a35fbc081908ec7d359ec3332f2 completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:55 p.m.