Triple

T11798810
Position Surface form Disambiguated ID Type / Status
Subject Little Burgundy E280570 entity
Predicate hasLandmark P105 FINISHED
Object Little Burgundy Park
Little Burgundy Park is a neighborhood green space in Montreal’s historic Little Burgundy district, offering residents recreational areas and a community gathering spot.
 E1306154 NE FINISHED

How this triple was built (3 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.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Little Burgundy Park
Context triple: [Little Burgundy, hasLandmark, Little Burgundy Park]
  • A. Fancyburg Park
    Fancyburg Park is a public recreational park in Upper Arlington, Ohio, featuring sports fields, open green space, and community amenities.
  • B. Rynerson Park
    Rynerson Park is a public recreational park in Lakewood, California, featuring open green spaces, sports facilities, and family-friendly amenities.
  • C. Forest Hill Park
    Forest Hill Park is a historic public park in the Forest Hill neighborhood of Cleveland, Ohio, known for its landscaped grounds, recreational facilities, and connection to the former Rockefeller estate.
  • D. Hintonburg Park
    Hintonburg Park is a small urban green space in Ottawa’s Hintonburg neighbourhood, featuring open lawns, play areas, and community gathering spots.
  • E. East End Park
    East End Park is a football stadium in Dunfermline, Scotland, best known as the long-standing home of Dunfermline Athletic F.C.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Little Burgundy Park
Triple: [Little Burgundy, hasLandmark, Little Burgundy Park]
Generated description
Little Burgundy Park is a neighborhood green space in Montreal’s historic Little Burgundy district, offering residents recreational areas and a community gathering spot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Little Burgundy Park
Target entity description: Little Burgundy Park is a neighborhood green space in Montreal’s historic Little Burgundy district, offering residents recreational areas and a community gathering spot.
  • A. Fancyburg Park
    Fancyburg Park is a public recreational park in Upper Arlington, Ohio, featuring sports fields, open green space, and community amenities.
  • B. Rynerson Park
    Rynerson Park is a public recreational park in Lakewood, California, featuring open green spaces, sports facilities, and family-friendly amenities.
  • C. Forest Hill Park
    Forest Hill Park is a historic public park in the Forest Hill neighborhood of Cleveland, Ohio, known for its landscaped grounds, recreational facilities, and connection to the former Rockefeller estate.
  • D. Hintonburg Park
    Hintonburg Park is a small urban green space in Ottawa’s Hintonburg neighbourhood, featuring open lawns, play areas, and community gathering spots.
  • E. East End Park
    East End Park is a football stadium in Dunfermline, Scotland, best known as the long-standing home of Dunfermline Athletic F.C.
  • F. None of above. chosen

Provenance (4 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c1792a081909cce0eb4cd1d6870 completed May 12, 2026, 7:14 p.m.
NEDg Description generation batch_6a037ca6f5888190b0ed34777aae862f completed May 12, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_6a037d319be48190b01a1b8d1f239078 completed May 12, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:42 p.m.