Triple

T17972464
Position Surface form Disambiguated ID Type / Status
Subject Laval Rouge et Or E449380 entity
Predicate location P40 FINISHED
Object Quebec City NE NERFINISHED

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: Quebec City | Statement: [Laval Rouge et Or, location, Quebec City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quebec City
Context triple: [Laval Rouge et Or, location, Quebec City]
  • A. Quebec City chosen
    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.
  • B. Quebec City and Lévis
    Quebec City and Lévis are neighboring cities on opposite banks of the Saint Lawrence River in Quebec, Canada, forming a closely linked historic and economic urban area.
  • C. 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.
  • D. Montreal
    Montreal was a prominent Crusader-era fortress in the Lordship of Oultrejordain, strategically controlling key trade and pilgrimage routes east of the Jordan River.
  • E. Les Cèdres, Quebec
    Les Cèdres, Quebec is a small municipality in southwestern Quebec, Canada, situated along the Saint Lawrence River west of Montreal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1fb58c481909726d6f916f6f646 completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.