Triple

T2423934
Position Surface form Disambiguated ID Type / Status
Subject Beenox E53481 entity
Predicate headquartersLocation P62 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: [Beenox, headquartersLocation, Quebec City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quebec City
Context triple: [Beenox, headquartersLocation, 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. 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.
  • D. Gatineau
    Gatineau is a city in western Quebec, Canada, located across the Ottawa River from Ottawa and forming part of the National Capital Region.
  • E. Mirabel, Quebec
    Mirabel, Quebec is a city in southwestern Quebec, Canada, known for its large rural territory and as the former site of Montréal–Mirabel International Airport.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc973aee08190b543492f436f3fe5 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2247dfcf88190ac85cc10e5700363 completed March 12, 2026, 2:27 a.m.
Created at: March 6, 2026, 9:42 p.m.