Triple

T6420288
Position Surface form Disambiguated ID Type / Status
Subject Montreal federal electoral districts E127926 entity
Predicate include P1393 FINISHED
Object Bourassa
Bourassa is a federal electoral district in Montreal, Quebec, represented in the House of Commons of Canada.
 E592592 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: Bourassa | Statement: [Montreal federal electoral districts, include, Bourassa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bourassa
Context triple: [Montreal federal electoral districts, include, Bourassa]
  • A. Desmarais
    Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
  • B. Reaume
    Reaume is a surname of likely French origin borne by individuals such as Helen Emma Reaume.
  • C. Valcartier
    Valcartier is a locality in Quebec, Canada, best known for its large Canadian Forces military base and nearby recreational facilities.
  • D. Nézet-Séguin
    Nézet-Séguin is the hyphenated family name of Canadian conductor Yannick Nézet-Séguin, renowned for his leadership of major orchestras and opera companies.
  • E. Prudent Beaudry
    Prudent Beaudry was a 19th-century Canadian-born businessman and politician who served as mayor of Los Angeles and played a key role in the city’s early development.
  • 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: Bourassa
Triple: [Montreal federal electoral districts, include, Bourassa]
Generated description
Bourassa is a federal electoral district in Montreal, Quebec, represented in the House of Commons of Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bourassa
Target entity description: Bourassa is a federal electoral district in Montreal, Quebec, represented in the House of Commons of Canada.
  • A. Desmarais
    Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
  • B. Reaume
    Reaume is a surname of likely French origin borne by individuals such as Helen Emma Reaume.
  • C. Valcartier
    Valcartier is a locality in Quebec, Canada, best known for its large Canadian Forces military base and nearby recreational facilities.
  • D. Nézet-Séguin
    Nézet-Séguin is the hyphenated family name of Canadian conductor Yannick Nézet-Séguin, renowned for his leadership of major orchestras and opera companies.
  • E. Prudent Beaudry
    Prudent Beaudry was a 19th-century Canadian-born businessman and politician who served as mayor of Los Angeles and played a key role in the city’s early development.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06902ddb48190bd5a8b5ecdf6c39e completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640d5f6f88190963a1e59400c7aa0 completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c6428e44108190b7cb592a05b4acbb completed March 27, 2026, 8:40 a.m.
NED2 Entity disambiguation (via description) batch_69c64343c19c8190b05ef4450aadcbd1 completed March 27, 2026, 8:43 a.m.
Created at: March 22, 2026, 4:43 p.m.