Triple
T9509396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Don River |
E229351
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object |
East Don Parkland
East Don Parkland is a natural green space and recreational area in Toronto that follows the East Don River with trails, forests, and wildlife habitat.
|
E804254
|
NE FINISHED |
How this triple was built (4 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: East Don Parkland | Statement: [East Don River, hasFeature, East Don Parkland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: East Don Parkland Context triple: [East Don River, hasFeature, East Don Parkland]
-
A.
Howden Park
Howden Park is a public recreational area in the Howden district, typically offering green space, walking paths, and community leisure facilities.
-
B.
Courtland Park
Courtland Park is a public recreational park located in Reidsville, North Carolina.
-
C.
Northgate Park
Northgate Park is a public recreational park located in the city of Manteca, California.
-
D.
Edgeley Park
Edgeley Park is a historic football stadium in Stockport, England, best known as the long-time home ground of Stockport County FC.
-
E.
Red Morton Park
Red Morton Park is a large community park in Redwood City, California, featuring sports fields, playgrounds, picnic areas, and recreational facilities for residents and visitors.
- 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: East Don Parkland Triple: [East Don River, hasFeature, East Don Parkland]
Generated description
East Don Parkland is a natural green space and recreational area in Toronto that follows the East Don River with trails, forests, and wildlife habitat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: East Don Parkland Target entity description: East Don Parkland is a natural green space and recreational area in Toronto that follows the East Don River with trails, forests, and wildlife habitat.
-
A.
Howden Park
Howden Park is a public recreational area in the Howden district, typically offering green space, walking paths, and community leisure facilities.
-
B.
Courtland Park
Courtland Park is a public recreational park located in Reidsville, North Carolina.
-
C.
Northgate Park
Northgate Park is a public recreational park located in the city of Manteca, California.
-
D.
Edgeley Park
Edgeley Park is a historic football stadium in Stockport, England, best known as the long-time home ground of Stockport County FC.
-
E.
Red Morton Park
Red Morton Park is a large community park in Redwood City, California, featuring sports fields, playgrounds, picnic areas, and recreational facilities for residents and visitors.
- F. None of above. chosen
Provenance (5 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9857058881909e0a40e2024a7b4c |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a2b34948190826b1f58258a4f54 |
completed | April 4, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69d13bc8ce4081909a58db4014f2748d |
completed | April 4, 2026, 4:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13c58beb08190ab41485bc7dd9b6d |
completed | April 4, 2026, 4:29 p.m. |
Created at: March 30, 2026, 7:58 p.m.