Triple

T22897296
Position Surface form Disambiguated ID Type / Status
Subject Mount Royal Chalet E568208 entity
Predicate hasView P854 FINISHED
Object Montreal skyline 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: Montreal skyline | Statement: [Mount Royal Chalet, hasView, Montreal skyline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montreal skyline
Context triple: [Mount Royal Chalet, hasView, Montreal skyline]
  • A. Montreal waterfront
    The Montreal waterfront is a revitalized urban riverside area featuring parks, promenades, historic sites, and cultural attractions along the Saint Lawrence River.
  • B. Notre-Dame-de-Grâce, Montreal
    Notre-Dame-de-Grâce is a primarily residential, historically anglophone neighborhood in western Montreal known for its diverse population, tree-lined streets, and mix of urban and suburban character.
  • C. Montreal chosen
    Montreal is the largest city in Quebec, Canada, known for its vibrant bilingual culture, historic architecture, and status as a major economic and cultural center.
  • D. Montreal
    Montreal was a prominent Crusader-era fortress in the Lordship of Oultrejordain, strategically controlling key trade and pilgrimage routes east of the Jordan River.
  • E. Montreal
    "Montreal" is a song by the American metal band Ataxia.
  • 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1801358488190aa2a51f0943ea5bd completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.