Triple

T128731
Position Surface form Disambiguated ID Type / Status
Subject Montreal E2604 entity
Predicate hasLandmark P105 FINISHED
Object Mount Royal E33286 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: Mount Royal | Statement: [Montreal, hasLandmark, Mount Royal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Royal
Context triple: [Montreal, hasLandmark, Mount Royal]
  • A. Mount Royal chosen
    Mount Royal is a prominent hill and urban park in the heart of Montreal, known as a central natural landmark and namesake of the city.
  • B. Mount Royal Range
    Mount Royal Range is a rugged mountain range in New South Wales, Australia, forming part of the Great Dividing Range and known for its protected forests and biodiversity.
  • C. Mount Lyell
    Mount Lyell is a prominent, glacier-clad peak in the Sierra Nevada of California, renowned as the tallest mountain in Yosemite National Park and a popular destination for experienced climbers.
  • D. Mount Garibaldi
    Mount Garibaldi is a glaciated stratovolcano in southwestern British Columbia, Canada, known for its prominent peak overlooking the Sea-to-Sky region near Squamish.
  • E. Backbone Mountain
    Backbone Mountain is a long, rugged ridge of the Allegheny Mountains in the central Appalachian range, known for forming part of the Maryland–West Virginia border and offering forested highland scenery and hiking opportunities.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a25763ccf8819094e8dffb2ff98480 completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3836ba7b88190bfa6bab252695781 completed March 1, 2026, 12:08 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.