Triple

T5599320
Position Surface form Disambiguated ID Type / Status
Subject Cornelio Saavedra E147075 entity
Predicate regionOfActivity P82 FINISHED
Object Río de la Plata E34763 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: Río de la Plata | Statement: [Cornelio Saavedra, regionOfActivity, Río de la Plata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río de la Plata
Context triple: [Cornelio Saavedra, regionOfActivity, Río de la Plata]
  • A. Río de la Plata chosen
    The Río de la Plata is a vast estuary on the southeastern coast of South America that forms part of the border between Argentina and Uruguay and serves as a crucial waterway for regional trade and transportation.
  • B. Obra River
    The Obra River is a significant river in western Poland known for its scenic, meandering course through lakes and wetlands before joining the Warta River.
  • C. Uruguay River
    The Uruguay River is a major South American waterway that forms part of the border between Argentina, Brazil, and Uruguay before joining the Paraná River to create the Río de la Plata estuary.
  • D. Río Mayo
    Río Mayo is a river in northwestern Mexico that flows through the state of Sonora before emptying into the Gulf of California.
  • E. Paraná
    Paraná is a state in southern Brazil known for its diverse landscapes, including the Iguaçu Falls on the border with Argentina and Paraguay, and its strong agricultural and industrial economy.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020d936dc8190a2e599f1df9fdd91 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287139508190aa646918228cfdc0 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:38 p.m.