Triple

T10928162
Position Surface form Disambiguated ID Type / Status
Subject Teniente Julio Gallardo Airport E258124 entity
Predicate regionServed P82 FINISHED
Object Puerto Natales E36465 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: Puerto Natales | Statement: [Teniente Julio Gallardo Airport, regionServed, Puerto Natales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Natales
Context triple: [Teniente Julio Gallardo Airport, regionServed, Puerto Natales]
  • A. Puerto Natales chosen
    Puerto Natales is a small Patagonian port town in southern Chile, best known as the main gateway to Torres del Paine National Park.
  • B. Puerto Valdivia
    Puerto Valdivia is a small riverside town in northern Colombia known for its location along the Cauca River and its role as a local transport and trading point.
  • C. Coyhaique
    Coyhaique is a small city in Chilean Patagonia known as a gateway to the remote Aysén Region, surrounded by mountains, rivers, and forests.
  • D. 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.
  • E. Puerto Varas
    Puerto Varas is a picturesque lakeside city in southern Chile’s Los Lagos Region, known for its German-influenced architecture and views of the Osorno and Calbuco volcanoes.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7709da23c819096f4bba1cd4ff5cb completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d710f65c8190a4ef17a6d90a19d2 completed April 18, 2026, 12:57 a.m.
Created at: April 8, 2026, 9:22 p.m.