Triple
T11798809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Burgundy |
E280570
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Oscar Peterson Park
Oscar Peterson Park is a public park in Montreal named in honor of the famed jazz pianist Oscar Peterson, celebrating his legacy in the Little Burgundy neighborhood where he grew up.
|
E1306153
|
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: Oscar Peterson Park Context triple: [Little Burgundy, hasLandmark, Oscar Peterson Park]
-
A.
Mindowaskin Park
Mindowaskin Park is a scenic public park in Westfield, New Jersey, known for its pond, walking paths, playgrounds, and community events.
-
B.
Golden Gardens Park
Golden Gardens Park is a popular waterfront park in Seattle, Washington, known for its sandy beach on Puget Sound, mountain views, wetlands, and forested trails.
-
C.
Whitemud Park
Whitemud Park is a large natural area in Edmonton, Alberta, known for its forested trails, creek ravine, and access to the North Saskatchewan River.
-
D.
Mackenzie Park
Mackenzie Park is a large public park in Lubbock, Texas, known for its recreational facilities, golf course, and outdoor events.
-
E.
Jean Klock Park
Jean Klock Park is a historic public lakeshore park on Lake Michigan known for its beach, dunes, and natural scenery in Benton Harbor.
- 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: Oscar Peterson Park Triple: [Little Burgundy, hasLandmark, Oscar Peterson Park]
Generated description
Oscar Peterson Park is a public park in Montreal named in honor of the famed jazz pianist Oscar Peterson, celebrating his legacy in the Little Burgundy neighborhood where he grew up.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oscar Peterson Park Target entity description: Oscar Peterson Park is a public park in Montreal named in honor of the famed jazz pianist Oscar Peterson, celebrating his legacy in the Little Burgundy neighborhood where he grew up.
-
A.
Mindowaskin Park
Mindowaskin Park is a scenic public park in Westfield, New Jersey, known for its pond, walking paths, playgrounds, and community events.
-
B.
Golden Gardens Park
Golden Gardens Park is a popular waterfront park in Seattle, Washington, known for its sandy beach on Puget Sound, mountain views, wetlands, and forested trails.
-
C.
Whitemud Park
Whitemud Park is a large natural area in Edmonton, Alberta, known for its forested trails, creek ravine, and access to the North Saskatchewan River.
-
D.
Mackenzie Park
Mackenzie Park is a large public park in Lubbock, Texas, known for its recreational facilities, golf course, and outdoor events.
-
E.
Jean Klock Park
Jean Klock Park is a historic public lakeshore park on Lake Michigan known for its beach, dunes, and natural scenery in Benton Harbor.
- 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.