Triple

T1161375
Position Surface form Disambiguated ID Type / Status
Subject Tierra del Fuego region E24497 entity
Predicate hasMajorCity P316 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: [Tierra del Fuego region, hasMajorCity, Ushuaia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ushuaia
Context triple: [Tierra del Fuego region, hasMajorCity, 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcb1915081908834ced85d09e299 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf13304881908aa74d92ef7b1c86 completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:45 p.m.