Triple

T17622516
Position Surface form Disambiguated ID Type / Status
Subject National University of Rosario E429744 entity
Predicate regionServed P82 FINISHED
Object Rosario metropolitan area NE NERFINISHED

How this triple was built (3 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: Rosario metropolitan area | Statement: [National University of Rosario, regionServed, Rosario metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosario metropolitan area
Context triple: [National University of Rosario, regionServed, Rosario metropolitan area]
  • A. Mar del Plata metropolitan area
    The Mar del Plata metropolitan area is a major coastal urban agglomeration in Argentina centered on the resort and port city of Mar del Plata, known for tourism, fishing, and regional services.
  • B. Mendoza metropolitan area
    The Mendoza metropolitan area is the principal urban and economic hub of western Argentina, centered on the city of Mendoza and known for its wine industry and proximity to the Andes.
  • C. Comodoro Rivadavia metropolitan area
    The Comodoro Rivadavia metropolitan area is a major urban and industrial hub in southern Patagonia, Argentina, centered on the coastal city of Comodoro Rivadavia and known for its oil industry and regional economic importance.
  • D. Greater Buenos Aires
    Greater Buenos Aires is the vast, densely populated metropolitan region surrounding Argentina’s capital city, encompassing Buenos Aires and its many suburban municipalities.
  • E. Punta del Este metropolitan area
    The Punta del Este metropolitan area is a major coastal urban and resort region in southeastern Uruguay centered on the famous beach city of Punta del Este and its surrounding communities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rosario metropolitan area
Target entity description: The Rosario metropolitan area is a major urban and economic region in Argentina centered on the city of Rosario and its surrounding municipalities in the province of Santa Fe.
  • A. Mar del Plata metropolitan area
    The Mar del Plata metropolitan area is a major coastal urban agglomeration in Argentina centered on the resort and port city of Mar del Plata, known for tourism, fishing, and regional services.
  • B. Mendoza metropolitan area
    The Mendoza metropolitan area is the principal urban and economic hub of western Argentina, centered on the city of Mendoza and known for its wine industry and proximity to the Andes.
  • C. Comodoro Rivadavia metropolitan area
    The Comodoro Rivadavia metropolitan area is a major urban and industrial hub in southern Patagonia, Argentina, centered on the coastal city of Comodoro Rivadavia and known for its oil industry and regional economic importance.
  • D. Greater Buenos Aires
    Greater Buenos Aires is the vast, densely populated metropolitan region surrounding Argentina’s capital city, encompassing Buenos Aires and its many suburban municipalities.
  • E. Punta del Este metropolitan area
    The Punta del Este metropolitan area is a major coastal urban and resort region in southeastern Uruguay centered on the famous beach city of Punta del Este and its surrounding communities.
  • F. None of above. chosen

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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46db98c54819088dadec9f6bcc559 completed April 19, 2026, 5:52 a.m.
Created at: April 10, 2026, 5:52 a.m.