Triple

T21885785
Position Surface form Disambiguated ID Type / Status
Subject Valdés Peninsula E540399 entity
Predicate nearestCity P350 FINISHED
Object Puerto Madryn 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: Puerto Madryn | Statement: [Valdés Peninsula, nearestCity, Puerto Madryn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Madryn
Context triple: [Valdés Peninsula, nearestCity, Puerto Madryn]
  • A. Puerto Madryn chosen
    Puerto Madryn is a coastal city in Argentina’s Chubut Province, known as a gateway to the Valdés Peninsula and a prime destination for marine wildlife watching, especially whales and penguins.
  • B. Puerto Deseado
    Puerto Deseado is a coastal town in Argentina’s Santa Cruz Province, known as a fishing port and gateway to rich Patagonian marine wildlife and coastal landscapes.
  • C. Ushuaia
    Ushuaia is the southernmost city in the world, located in Argentina’s Tierra del Fuego and serving as a major gateway to Antarctic voyages.
  • D. Puerto Ingeniero Ibáñez
    Puerto Ingeniero Ibáñez is a small town in Chilean Patagonia known as an administrative and service center on the southern shore of General Carrera Lake.
  • E. Pinamar
    Pinamar is a popular seaside resort city on Argentina’s Atlantic coast, known for its pine forests, wide beaches, and upscale vacation atmosphere.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118ec147481908903e2f24e049d8f completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:05 p.m.