Triple

T2342754
Position Surface form Disambiguated ID Type / Status
Subject English Glacier E45061 entity
Predicate region P40 FINISHED
Object Cuyo E214455 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: Cuyo | Statement: [English Glacier, region, Cuyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuyo
Context triple: [English Glacier, region, Cuyo]
  • A. Río Negro Province
    Río Negro Province is a large region in northern Patagonia, Argentina, known for its diverse landscapes ranging from Andean mountains and lakes to Atlantic coastline and fertile valleys.
  • B. Cuyo region chosen
    The Cuyo region is a western Argentine area known for its Andean landscapes, major wine-producing provinces like Mendoza and San Juan, and significant mining and agricultural activities.
  • C. Mendoza
    Mendoza is a major city in western Argentina known as a gateway to the Andes and the country’s premier wine-producing region.
  • D. Última Esperanza Province
    Última Esperanza Province is a sparsely populated Patagonian province in southern Chile known for its dramatic fjords, glaciers, and the world-famous Torres del Paine National Park.
  • E. San Martín Region
    San Martín Region is an administrative region in northern Peru known for its Amazonian rainforests, diverse indigenous communities, and rich linguistic and cultural heritage.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6ae33e881909a81a0c0def59059 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98a0ce708190a89b68e8e9053f43 completed March 10, 2026, 4:05 a.m.
Created at: March 4, 2026, 7:52 p.m.