Triple

T654156
Position Surface form Disambiguated ID Type / Status
Subject Université de Montréal E11608 entity
Predicate primaryCampusLocation P115 FINISHED
Object Mount Royal E33286 NE FINISHED

How this triple was built (3 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: [Université de Montréal, primaryCampusLocation, Mount Royal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Royal
Context triple: [Université de Montréal, primaryCampusLocation, 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 Catherine
    Mount Catherine is the highest mountain in Egypt, located in the southern Sinai Peninsula and known for its rugged terrain and religious significance.
  • D. Mount Ainslie
    Mount Ainslie is a prominent hill in Canberra, Australia, known for its popular lookout offering panoramic views over the city and its surrounding landscape.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryCampusLocation
Context triple: [Université de Montréal, primaryCampusLocation, Mount Royal]
  • A. hasMainCampus chosen
    Indicates that an educational institution is primarily based at or chiefly associated with a particular campus location.
  • B. universityLocatedIn
    Indicates that a university is situated within or associated with a specific geographic location or administrative region.
  • C. cityCampus
    Indicates that a campus is located within or associated with a particular city.
  • D. campusAddress
    Indicates that an entity has a specific address associated with a campus location.
  • E. cityOfInstitution
    Indicates the city in which an institution is located or based.
  • F. None of above.

Provenance (4 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4bb5b881908a18b5ec1c94e0cf completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a591486b708190b0191e958c6c8851 completed March 2, 2026, 1:31 p.m.
PD Predicate disambiguation batch_69a49d1001088190aa7ca3c8f2ad0e32 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:36 p.m.