Triple

T350100
Position Surface form Disambiguated ID Type / Status
Subject Quebec City E7422 entity
Predicate locatedIn P40 FINISHED
Object Quebec E840 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 | Statement: [Quebec City, locatedIn, Quebec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quebec
Context triple: [Quebec City, locatedIn, Quebec]
  • A. Province of Quebec chosen
    The Province of Quebec was a British colonial territory in North America that encompassed much of present-day Quebec and parts of surrounding regions following the Seven Years' War.
  • B. Valcartier, Quebec
    Valcartier, Quebec is a Canadian military community near Quebec City best known for its large training base and historic role as a mobilization camp during World War I.
  • C. Ontario
    Ontario is Canada’s most populous province, home to the nation’s capital Ottawa and its largest city Toronto, and a major economic and cultural hub.
  • D. Ontario
    Ontario is a city in southwestern San Bernardino County, California, known as a major logistics and transportation hub anchored by Ontario International Airport and extensive freeway and rail connections.
  • E. Nova Scotia
    Nova Scotia is a maritime province on Canada’s Atlantic coast known for its rugged coastline, historic seaports, and strong Celtic and Acadian cultural heritage.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eb1f028c819098fa6480b4ca5cf0 completed Feb. 28, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4239d00048190a1d79b889c55d33a completed March 1, 2026, 11:31 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.