Triple

T3275104
Position Surface form Disambiguated ID Type / Status
Subject Beagle Channel E68738 entity
Predicate hasPort P35 FINISHED
Object Ushuaia E53826 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: Ushuaia | Statement: [Beagle Channel, hasPort, Ushuaia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ushuaia
Context triple: [Beagle Channel, hasPort, Ushuaia]
  • A. Ushuaia chosen
    Ushuaia is the southernmost city in the world, located in Argentina’s Tierra del Fuego and serving as a major gateway to Antarctic voyages.
  • B. El Calafate
    El Calafate is a small Patagonian town in southern Argentina that serves as the main tourist gateway to the famous Perito Moreno Glacier and the surrounding Los Glaciares National Park.
  • C. Punta Arenas, Chile
    Punta Arenas, Chile is a major southern Chilean port city on the Strait of Magellan, known as a gateway to Patagonia and Antarctica.
  • D. Puerto Natales
    Puerto Natales is a small Patagonian port town in southern Chile, best known as the main gateway to Torres del Paine National Park.
  • E. Bariloche
    Bariloche is a popular Argentine city in the Andean region known for its lakes, mountains, skiing, and Swiss-style alpine architecture.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff8a440819092509bc8511b2785 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e841d5588190a53ba90a46721b0f completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.