Triple

T654124
Position Surface form Disambiguated ID Type / Status
Subject Université de Montréal E11608 entity
Predicate affiliation P10 FINISHED
Object Polytechnique Montréal E27791 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: Polytechnique Montréal | Statement: [Université de Montréal, affiliation, Polytechnique Montréal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polytechnique Montréal
Context triple: [Université de Montréal, affiliation, Polytechnique Montréal]
  • A. Polytechnique Montréal chosen
    Polytechnique Montréal is a major Canadian engineering university in Montreal known for its strong research programs and partnerships in fields such as artificial intelligence and applied sciences.
  • B. HEC Montréal
    HEC Montréal is a leading French-language business school in Montreal, Canada, renowned for its management education and research.
  • C. Université du Québec à Montréal
    Université du Québec à Montréal is a major French-language public university known for its urban campus, research activity, and strong presence in the cultural and academic life of Montreal.
  • D. Université de Montréal
    Université de Montréal is a major French-language public research university in Montreal, Canada, renowned for its contributions to fields such as artificial intelligence and deep learning.
  • E. Université Laval
    Université Laval is a major French-language public research university in Quebec City, recognized for its strong research output and membership in Canada’s leading research-intensive university groups.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4bb5b881908a18b5ec1c94e0cf completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3925a14819093336c4217c7e893 completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.