Triple

T1618025
Position Surface form Disambiguated ID Type / Status
Subject Río de la Plata E34763 entity
Predicate cityOnShore P969 FINISHED
Object Colonia del Sacramento E207052 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: Colonia del Sacramento | Statement: [Río de la Plata, cityOnShore, Colonia del Sacramento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colonia del Sacramento
Context triple: [Río de la Plata, cityOnShore, Colonia del Sacramento]
  • A. Colonia del Sacramento chosen
    Colonia del Sacramento is a historic Uruguayan city famed for its well-preserved colonial quarter, a UNESCO World Heritage Site that reflects a blend of Portuguese and Spanish architectural influences.
  • B. Colonia Buenos Aires
    Colonia Buenos Aires is a neighborhood located within the Cuauhtémoc borough in central Mexico City.
  • C. Montevideo
    Montevideo is the capital and largest city of Uruguay, serving as the country’s main political, economic, and cultural center.
  • D. Ciudad del Este
    Ciudad del Este is a major commercial city in eastern Paraguay, known as a busy border trading hub near the tri-border area with Brazil and Argentina.
  • E. Comodoro Rivadavia
    Comodoro Rivadavia is a coastal city in southern Argentina known as a key oil industry hub and one of the main urban centers of Patagonia.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909addb348190a80a97422efcaa63 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeac40c608190800da8b029ef065a completed March 8, 2026, 9:31 p.m.
Created at: March 4, 2026, 7:28 p.m.