Triple

T22706239
Position Surface form Disambiguated ID Type / Status
Subject Potosí E561459 entity
Predicate hasLandmark P105 FINISHED
Object Cerro Rico NE NERFINISHED

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: Cerro Rico | Statement: [Potosí, hasLandmark, Cerro Rico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerro Rico
Context triple: [Potosí, hasLandmark, Cerro Rico]
  • A. Cerro Rico chosen
    Cerro Rico is a historically significant silver-rich mountain in Bolivia whose vast mineral wealth fueled the Spanish Empire during the colonial era.
  • B. Cerro Las Minas
    Cerro Las Minas is the tallest mountain in Honduras, located in the Celaque National Park and known for its cloud forests and rich biodiversity.
  • C. Cerro El Plomo
    Cerro El Plomo is a prominent Andean mountain near Santiago, Chile, known for its high altitude, mountaineering routes, and significant Inca archaeological remains near its summit.
  • D. Huayna Potosí
    Huayna Potosí is a prominent, glaciated mountain in the Bolivian Andes, popular with climbers for its relatively accessible high-altitude ascent.
  • E. Mount Potosí
    Mount Potosí is a historically significant mountain in Bolivia famed for its rich silver deposits that fueled Spanish colonial wealth and symbolized the country's mineral resources.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178ceba6c8190a538366a8e4648de completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:17 p.m.