Triple

T13154681
Position Surface form Disambiguated ID Type / Status
Subject Montérégie E312551 entity
Predicate contains P35 FINISHED
Object La Prairie E419595 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: La Prairie | Statement: [Montérégie, contains, La Prairie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Prairie
Context triple: [Montérégie, contains, La Prairie]
  • A. La Prairie chosen
    La Prairie is a suburban city located on the South Shore of the Saint Lawrence River opposite Montreal, known for its historic district and residential character.
  • B. Strathmore
    Strathmore is a residential suburb in Melbourne, Victoria, known for its family-friendly streets, schools, and proximity to Essendon Airport.
  • C. Strathmore
    Strathmore is a broad, fertile valley in eastern Scotland known for its rich agricultural land and historic settlements.
  • D. Strathmore
    Strathmore is a small town in southern Alberta, Canada, known as an agricultural and commuter community east of Calgary.
  • E. Golden Valley
    Golden Valley is a suburban city in the Minneapolis–Saint Paul metropolitan area of Minnesota, known for its residential neighborhoods and corporate offices.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c06ccb881909390df18e1a6f7ed completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaee8aa0819089994b85d56c7740 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:11 p.m.