Triple

T9598069
Position Surface form Disambiguated ID Type / Status
Subject Rue University E231781 entity
Predicate hasTransportAuthority P7691 FINISHED
Object Ville de Montréal E506041 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: Ville de Montréal | Statement: [Rue University, hasTransportAuthority, Ville de Montréal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ville de Montréal
Context triple: [Rue University, hasTransportAuthority, Ville de Montréal]
  • A. Montreal
    Montreal is the largest city in Quebec, Canada, known for its vibrant bilingual culture, historic architecture, and status as a major economic and cultural center.
  • B. Quebec City
    Quebec City is the historic capital of the Canadian province of Quebec, renowned for its well-preserved fortified old town and rich French colonial heritage.
  • C. Joliette
    Joliette is a Montreal Metro station on the Green Line serving the Mercier–Hochelaga-Maisonneuve borough in Montreal, Quebec, Canada.
  • D. Ville de Baie-Comeau
    Ville de Baie-Comeau is a coastal city in Quebec, Canada, known for its port on the St. Lawrence River and its role in the region’s forestry and hydroelectric industries.
  • E. Montreal, Quebec, Canada chosen
    Montreal, Quebec, Canada is a major French-speaking metropolis known for its vibrant arts scene, diverse culture, and historic architecture on the Saint Lawrence River.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a366d3481908db62e476958eafe completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2b58f7ea08190a96d88bafe9d4308 completed April 5, 2026, 7:18 p.m.
Created at: March 30, 2026, 8:07 p.m.