Triple

T8976217
Position Surface form Disambiguated ID Type / Status
Subject François de Montmorency-Laval E214394 entity
Predicate deathPlace P21 FINISHED
Object Quebec City E7422 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: Quebec City | Statement: [François de Montmorency-Laval, deathPlace, Quebec City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quebec City
Context triple: [François de Montmorency-Laval, deathPlace, 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. 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.
  • C. Les Cèdres, Quebec
    Les Cèdres, Quebec is a small municipality in southwestern Quebec, Canada, situated along the Saint Lawrence River west of Montreal.
  • D. Trois-Rivières
    Trois-Rivières is a historic industrial and cultural city in the Canadian province of Quebec, located roughly midway between Montreal and Quebec City.
  • E. Lévis
    Lévis is a city located on the south shore of the St. Lawrence River in Quebec, Canada, directly across from Quebec City.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6786c880819088393bb107a7364c completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02fb3a27081909bc8504c92d8942f completed April 3, 2026, 9:22 p.m.
Created at: March 30, 2026, 7:02 p.m.