Triple
T1300110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maple, Ontario |
E27741
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Melville Park
Melville Park is a local public green space and recreational area located in the community of Maple in Ontario, Canada.
|
E170046
|
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: Melville Park | Statement: [Maple, Ontario, hasPark, Melville Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melville Park Context triple: [Maple, Ontario, hasPark, Melville Park]
-
A.
Bayliss Park
Bayliss Park is a historic central public park and community gathering space located in downtown Council Bluffs, Iowa.
-
B.
Moore Park
Moore Park is an inner-city suburb and major sporting and entertainment precinct in Sydney, New South Wales, Australia.
-
C.
St. Mary’s Park
St. Mary’s Park is a public green space in the Bronx known for its athletic fields, playgrounds, and community recreation facilities.
-
D.
Cow Harbor Park
Cow Harbor Park is a waterfront recreational area in Northport, New York, offering harbor views, open green space, and access to local maritime activities.
-
E.
Topstone Park
Topstone Park is a natural recreational area in Redding, Connecticut, known for its wooded trails, swimming pond, and outdoor activities.
- 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: Melville Park Triple: [Maple, Ontario, hasPark, Melville Park]
Generated description
Melville Park is a local public green space and recreational area located in the community of Maple in Ontario, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melville Park Target entity description: Melville Park is a local public green space and recreational area located in the community of Maple in Ontario, Canada.
-
A.
Bayliss Park
Bayliss Park is a historic central public park and community gathering space located in downtown Council Bluffs, Iowa.
-
B.
Moore Park
Moore Park is an inner-city suburb and major sporting and entertainment precinct in Sydney, New South Wales, Australia.
-
C.
St. Mary’s Park
St. Mary’s Park is a public green space in the Bronx known for its athletic fields, playgrounds, and community recreation facilities.
-
D.
Cow Harbor Park
Cow Harbor Park is a waterfront recreational area in Northport, New York, offering harbor views, open green space, and access to local maritime activities.
-
E.
Topstone Park
Topstone Park is a natural recreational area in Redding, Connecticut, known for its wooded trails, swimming pond, and outdoor activities.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c11314a48190ab4efb8b1acdce50 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1c93bbe8819092dab6a3ed616998 |
completed | March 8, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69ad1ccce8548190bd65a3a380e6d2b7 |
completed | March 8, 2026, 6:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad1d4782708190bd472726d42a5cd5 |
completed | March 8, 2026, 6:55 a.m. |
Created at: March 1, 2026, 7:51 p.m.