Triple

T7994280
Position Surface form Disambiguated ID Type / Status
Subject Salto Grande Dam E186083 entity
Predicate locatedInOrNear P40 FINISHED
Object Salto, Uruguay E562442 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: Salto, Uruguay | Statement: [Salto Grande Dam, locatedInOrNear, Salto, Uruguay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salto, Uruguay
Context triple: [Salto Grande Dam, locatedInOrNear, Salto, Uruguay]
  • A. Salto, Uruguay chosen
    Salto, Uruguay is a major city in northwestern Uruguay known for its hot springs, agricultural production, and as the hometown of footballer Luis Suárez.
  • B. Concepción del Uruguay
    Concepción del Uruguay is a historic city in northeastern Argentina known for its colonial architecture, river port on the Uruguay River, and role in the country’s early political life.
  • C. Salto, Argentina
    Salto, Argentina is a city in the Buenos Aires Province known for its agricultural economy and location along the Salto River.
  • D. Luque, Paraguay
    Luque is a city in the Central Department of Paraguay, part of the Greater Asunción metropolitan area and an important administrative and commercial center.
  • E. Paysandú
    Paysandú is a major city in western Uruguay known as an important industrial and port center near the Argentine border.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c73ba388190bcedc29fbdd22f3c completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93991e9c8190a6834b8d9fd82128 completed April 1, 2026, 3:40 a.m.
Created at: March 30, 2026, 5:16 p.m.