Triple

T16935690
Position Surface form Disambiguated ID Type / Status
Subject McGill University Arts Building E410820 entity
Predicate hasView P854 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: [McGill University Arts Building, hasView, Mount Royal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Royal
Context triple: [McGill University Arts Building, hasView, 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. Plateau-Mont-Royal
    Plateau-Mont-Royal is a densely populated, trendy borough of Montreal known for its vibrant arts scene, colorful row houses, and lively cafés and nightlife.
  • D. Mont Saint-Bruno
    Mont Saint-Bruno is a small, isolated mountain in southwestern Quebec, Canada, known for its provincial park, forested trails, and proximity to Montreal.
  • E. Ahuntsic
    Ahuntsic is a residential neighbourhood in northern Montreal, Quebec, known for its riverside parks, quiet streets, and mix of historic and modern urban character.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2a05f48190a0a8ac86985f4000 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfe2d4f48190b965b6c0a3cc0125 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.