Triple

T5910693
Position Surface form Disambiguated ID Type / Status
Subject Downtown Montreal E131449 entity
Predicate hasPart P35 FINISHED
Object Place du Canada E495741 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: Place du Canada | Statement: [Downtown Montreal, hasPart, Place du Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Place du Canada
Context triple: [Downtown Montreal, hasPart, Place du Canada]
  • A. Place du Canada chosen
    Place du Canada is a prominent urban square and public park in downtown Montreal, known for its central location, historic monuments, and role as a major civic gathering space.
  • B. Place de Valenciennes
    Place de Valenciennes is a small public square in Paris, France, located near Rue de Dunkerque in the 10th arrondissement.
  • C. Place de Neuve
    Place de Neuve is a prominent square in Geneva, Switzerland, known as a cultural hub bordered by major institutions like the Grand Théâtre and serving as a gateway to the city's historic center.
  • D. Place de la Cathédrale
    Place de la Cathédrale is a central square in Strasbourg, France, known for its proximity to and views of the city’s famous Gothic cathedral.
  • E. Place d'Armes
    Place d'Armes is a central historic square in Luxembourg City known for its cafés, events, and role as a popular social and cultural gathering spot.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037767af08190b5678cff9fd0816f completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b17375488190a3053d37712501b3 completed March 23, 2026, 3:20 a.m.
Created at: March 22, 2026, 3:59 p.m.