Triple

T5910689
Position Surface form Disambiguated ID Type / Status
Subject Downtown Montreal E131449 entity
Predicate hasPart P35 FINISHED
Object Place Bonaventure
Place Bonaventure is a massive multi-purpose complex in downtown Montreal known for its convention center, exhibition halls, offices, and rooftop hotel.
E554004 NE FINISHED

How this triple was built (4 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 Bonaventure | Statement: [Downtown Montreal, hasPart, Place Bonaventure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Place Bonaventure
Context triple: [Downtown Montreal, hasPart, Place Bonaventure]
  • A. Saint Gilles
    Saint Gilles is the French name for Saint Giles, a popular medieval Christian saint venerated as the patron of the disabled, beggars, and outcasts.
  • B. Count of Saint-Leu
    The Count of Saint-Leu was a noble title held by Louis Bonaparte, former King of Holland and younger brother of Napoleon Bonaparte.
  • C. Bernardin
    Bernardin is a well-known brand specializing in home canning and preserving supplies, particularly mason jars, lids, and related accessories.
  • D. Saint Ferréol
    Saint Ferréol is a Christian saint after whom various places and landmarks, such as Lac de Saint-Ferréol in France, are named.
  • E. Jean Puy
    Jean Puy was a French Fauvist painter known for his vibrant use of color and participation in early 20th-century avant-garde exhibitions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Place Bonaventure
Triple: [Downtown Montreal, hasPart, Place Bonaventure]
Generated description
Place Bonaventure is a massive multi-purpose complex in downtown Montreal known for its convention center, exhibition halls, offices, and rooftop hotel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Place Bonaventure
Target entity description: Place Bonaventure is a massive multi-purpose complex in downtown Montreal known for its convention center, exhibition halls, offices, and rooftop hotel.
  • A. Saint Gilles
    Saint Gilles is the French name for Saint Giles, a popular medieval Christian saint venerated as the patron of the disabled, beggars, and outcasts.
  • B. Count of Saint-Leu
    The Count of Saint-Leu was a noble title held by Louis Bonaparte, former King of Holland and younger brother of Napoleon Bonaparte.
  • C. Bernardin
    Bernardin is a well-known brand specializing in home canning and preserving supplies, particularly mason jars, lids, and related accessories.
  • D. Saint Ferréol
    Saint Ferréol is a Christian saint after whom various places and landmarks, such as Lac de Saint-Ferréol in France, are named.
  • E. Jean Puy
    Jean Puy was a French Fauvist painter known for his vibrant use of color and participation in early 20th-century avant-garde exhibitions.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69c0b314b814819087be63d41c10e26e completed March 23, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69c0b3c1e9c08190bc291e1e20005aba completed March 23, 2026, 3:30 a.m.
Created at: March 22, 2026, 3:59 p.m.