Triple

T8795113
Position Surface form Disambiguated ID Type / Status
Subject Pão de Açúcar E209269 entity
Predicate nameMeaning P453 FINISHED
Object Sugarloaf E39158 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: Sugarloaf | Statement: [Pão de Açúcar, nameMeaning, Sugarloaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugarloaf
Context triple: [Pão de Açúcar, nameMeaning, Sugarloaf]
  • A. Sugarloaf Mountain chosen
    Sugarloaf Mountain is a famous granite peak at the entrance of Guanabara Bay in Rio de Janeiro, Brazil, renowned for its panoramic city and ocean views and its cable car rides.
  • B. Sugarloaf ski resort
    Sugarloaf ski resort is one of New England’s largest and most renowned ski destinations, located in Carrabassett Valley, Maine, offering extensive alpine terrain, a vibrant mountain village, and year-round outdoor recreation.
  • C. Sugar Loaf
    Sugar Loaf is a prominent, cone-shaped hill in the Black Mountains of South Wales, popular for hiking and panoramic views over the surrounding countryside.
  • D. Mount Snow
    Mount Snow is a popular ski resort in southern Vermont known for its extensive terrain, snowmaking, and winter sports facilities.
  • E. Sugar Mountain Resort
    Sugar Mountain Resort is a popular ski and snowboard destination in the North Carolina High Country, offering winter sports, lodging, and year-round mountain recreation.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa0c6008190a5c4d87510ad5bbd completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0771920819081f191567c7e9fd2 completed April 3, 2026, 2:36 p.m.
Created at: March 30, 2026, 6:43 p.m.