Triple

T21537532
Position Surface form Disambiguated ID Type / Status
Subject Pie-IX E531386 entity
Predicate connectsTo P845 FINISHED
Object Montreal Tower 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 Tower | Statement: [Pie-IX, connectsTo, Montreal Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montreal Tower
Context triple: [Pie-IX, connectsTo, Montreal Tower]
  • A. Montreal Tower chosen
    Montreal Tower is an inclined observation and sports tower attached to Montreal's Olympic Stadium, known for its dramatic leaning design and panoramic city views.
  • B. CN Tower
    The CN Tower is a prominent communications and observation tower in downtown Toronto, Canada, and one of the city's most recognizable skyline landmarks.
  • C. Calgary Tower
    The Calgary Tower is a prominent observation tower and city landmark in downtown Calgary, Alberta, known for its panoramic views and glass-floored observation deck.
  • D. Montreal City Hall
    Montreal City Hall is the historic seat of municipal government in Montreal, housing the mayor’s office and serving as the central venue for the city’s political and administrative affairs.
  • E. Canadian Pacific Tower
    The Canadian Pacific Tower is a prominent office skyscraper in downtown Toronto, forming part of the Toronto-Dominion Centre complex.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0fdf448190b47ac7c28904f86b completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.