Triple

T817965
Position Surface form Disambiguated ID Type / Status
Subject Americas E17691 entity
Predicate containsSubregion P285 FINISHED
Object Patagonia E2036 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: Patagonia | Statement: [Americas, containsSubregion, Patagonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patagonia
Context triple: [Americas, containsSubregion, Patagonia]
  • A. Patagonia chosen
    Patagonia is a sparsely populated region at the southern end of South America, renowned for its dramatic mountains, glaciers, and windswept plains shared by Chile and Argentina.
  • B. Tierra del Fuego region
    Tierra del Fuego region is a remote archipelago at the southern tip of South America, shared by Argentina and Chile, known for its rugged landscapes, subpolar climate, and role as a gateway to Antarctica.
  • C. Roca Sur
    Roca Sur is a small, remote rocky islet that forms part of Chile’s isolated Desventuradas Islands in the southeastern Pacific Ocean.
  • D. Valdivia
    Valdivia is a historic river port city in southern Chile known for its colonial heritage, waterways, and role as a regional cultural and economic center.
  • E. Carretera Austral
    Carretera Austral is a scenic highway in southern Chile that winds through remote Patagonian landscapes of fjords, forests, mountains, and glaciers.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab63f4a48190a61a14c3c41ed641 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2578477c8190983de0a1065ad8ec completed March 7, 2026, 1:17 p.m.
Created at: March 1, 2026, 7:38 p.m.