Triple

T21146483
Position Surface form Disambiguated ID Type / Status
Subject Île-des-Soeurs E521068 entity
Predicate hasViewOf 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: [Île-des-Soeurs, hasViewOf, Montreal skyline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montreal skyline
Context triple: [Île-des-Soeurs, hasViewOf, Montreal skyline]
  • A. Montreal waterfront chosen
    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
    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" is a song by the American metal band Ataxia.
  • E. 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.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fdc25481909d6648e09b069c41 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.