Triple
T10815285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belle Vue |
E255211
|
entity |
| Predicate | hasVenue |
P373
|
FINISHED |
| Object |
Kings Hall, Belle Vue
Kings Hall, Belle Vue was a prominent entertainment and concert venue in Manchester, England, known for hosting major music acts and public events during the 20th century.
|
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: Kings Hall, Belle Vue | Statement: [Belle Vue, hasVenue, Kings Hall, Belle Vue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kings Hall, Belle Vue Context triple: [Belle Vue, hasVenue, Kings Hall, 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.
Belle Vue
Belle Vue is a small settlement on the island of Tortola in the British Virgin Islands.
-
C.
Belle Vue
Belle Vue is a historic rugby league stadium in Wakefield, West Yorkshire, best known as the long-time home of the Wakefield Trinity club.
-
D.
Belle Vue
Belle Vue is a district in Manchester, England, historically known for its former zoological gardens and amusement park.
-
E.
King George's Hall
King George's Hall is a prominent concert and entertainment venue in Blackburn, England, hosting live music, comedy, and cultural events.
- 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: Kings Hall, Belle Vue Triple: [Belle Vue, hasVenue, Kings Hall, Belle Vue]
Generated description
Kings Hall, Belle Vue was a prominent entertainment and concert venue in Manchester, England, known for hosting major music acts and public events during the 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kings Hall, Belle Vue Target entity description: Kings Hall, Belle Vue was a prominent entertainment and concert venue in Manchester, England, known for hosting major music acts and public events during the 20th century.
-
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.
Belle Vue
Belle Vue is a small settlement on the island of Tortola in the British Virgin Islands.
-
C.
Belle Vue
Belle Vue is a historic rugby league stadium in Wakefield, West Yorkshire, best known as the long-time home of the Wakefield Trinity club.
-
D.
Belle Vue
chosen
Belle Vue is a district in Manchester, England, historically known for its former zoological gardens and amusement park.
-
E.
King George's Hall
King George's Hall is a prominent concert and entertainment venue in Blackburn, England, hosting live music, comedy, and cultural events.
- F. None of above.
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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733ece4488190b553a66c4b5188bc |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8546b41081909e13152c4df2eb1c |
completed | April 14, 2026, 6:19 p.m. |
| NEDg | Description generation | batch_69de8955b9d8819086ff98efbff6c7a0 |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f4a318c819086559fd53506ab29 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 9:18 p.m.