Triple

T10577900
Position Surface form Disambiguated ID Type / Status
Subject South Shore of the Saint Lawrence River E249657 entity
Predicate contains P35 FINISHED
Object Rimouski E870874 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: Rimouski | Statement: [South Shore of the Saint Lawrence River, contains, Rimouski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rimouski
Context triple: [South Shore of the Saint Lawrence River, contains, Rimouski]
  • A. Rimouski chosen
    Rimouski is a city in eastern Quebec, Canada, located along the south shore of the Saint Lawrence River and known as a regional center for education, research, and maritime activities.
  • B. Bécancour
    Bécancour is a small industrial and agricultural city in the Centre-du-Québec region of Quebec, Canada, located along the south shore of the Saint Lawrence River.
  • C. Boisbriand
    Boisbriand is a suburban city in southwestern Quebec, Canada, located northwest of Montreal along the Rivière des Mille Îles.
  • D. Lévis
    Lévis is a city located on the south shore of the St. Lawrence River in Quebec, Canada, directly across from Quebec City.
  • E. 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.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52756ff1c8190a85022748ca58ba5 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e78ad6c81909eaa0cdc41c5cc82 completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:38 p.m.