Triple

T21532974
Position Surface form Disambiguated ID Type / Status
Subject Brazilian Midwest E531280 entity
Predicate containsCity P294 FINISHED
Object Rio Verde NE NERFINISHED

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: Rio Verde | Statement: [Brazilian Midwest, containsCity, Rio Verde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio Verde
Context triple: [Brazilian Midwest, containsCity, Rio Verde]
  • A. Rio Verde
    Rio Verde is a river in the Brazilian Amazon region, noted for its remote, dense jungle surroundings and association with early 20th-century exploration quests such as those recounted in "The Lost City of Z."
  • B. Rio Verde chosen
    Rio Verde is a major agricultural and commercial city in the Brazilian state of Goiás, known for its grain production and agribusiness industries.
  • C. Rio Verde Grande
    Rio Verde Grande is a significant river in eastern Brazil that drains parts of Minas Gerais and Bahia before joining the São Francisco River.
  • D. Río Verde
    Río Verde is a river in southern Spain that flows through the municipality of Almuñécar in the province of Granada before reaching the Mediterranean Sea.
  • E. Río Verde
    Río Verde is a sparsely populated rural commune in Chilean Patagonia, known for its sheep-farming estancias and windswept steppe landscapes along the Strait of Magellan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0ae0e88190a6042effd93cd455 completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.