Triple
T2328344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardwick |
E48341
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Belle Vue
Belle Vue is a district in Manchester, England, historically known for its former zoological gardens and amusement park.
|
E255211
|
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: Belle Vue | Statement: [Ardwick, borders, Belle Vue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belle Vue Context triple: [Ardwick, borders, Belle Vue]
-
A.
Belle Vue
Belle Vue was a historic football stadium in Doncaster, England, best known as the long-time home of Doncaster Rovers F.C.
-
B.
Astley Park
Astley Park is a historic public park in Chorley, Lancashire, known for its landscaped grounds, woodland, and the Grade I listed Astley Hall.
-
C.
Knowsley Park
Knowsley Park is a historic deer park and estate in Merseyside, England, surrounding Knowsley Hall and known for its extensive grounds and wildlife.
-
D.
Wigan Pier
Wigan Pier is a historic industrial waterfront site in Wigan, England, famously associated with George Orwell’s book "The Road to Wigan Pier."
-
E.
Barlow Park
Barlow Park is a public recreational park located in the city of Ripon in central Wisconsin.
- 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: Belle Vue Triple: [Ardwick, borders, Belle Vue]
Generated description
Belle Vue is a district in Manchester, England, historically known for its former zoological gardens and amusement park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belle Vue Target entity description: Belle Vue is a district in Manchester, England, historically known for its former zoological gardens and amusement park.
-
A.
Belle Vue
Belle Vue was a historic football stadium in Doncaster, England, best known as the long-time home of Doncaster Rovers F.C.
-
B.
Astley Park
Astley Park is a historic public park in Chorley, Lancashire, known for its landscaped grounds, woodland, and the Grade I listed Astley Hall.
-
C.
Knowsley Park
Knowsley Park is a historic deer park and estate in Merseyside, England, surrounding Knowsley Hall and known for its extensive grounds and wildlife.
-
D.
Wigan Pier
Wigan Pier is a historic industrial waterfront site in Wigan, England, famously associated with George Orwell’s book "The Road to Wigan Pier."
-
E.
Barlow Park
Barlow Park is a public recreational park located in the city of Ripon in central Wisconsin.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc665c6548190af90d70475b4519b |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae897243c48190a18b0e02ad664ead |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8ace309c8190b57426d1449de723 |
completed | March 9, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8b56d8548190aa6a99f3f7d99c3e |
completed | March 9, 2026, 8:56 a.m. |
Created at: March 4, 2026, 7:50 p.m.