Triple
T5392041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakefield Trinity |
E120351
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object | Belle Vue, Wakefield |
E517661
|
NE FINISHED |
How this triple was built (2 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, Wakefield | Statement: [Wakefield Trinity, basedIn, Belle Vue, Wakefield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belle Vue, Wakefield Context triple: [Wakefield Trinity, basedIn, Belle Vue, Wakefield]
-
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
chosen
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.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd8719ff04819089e3a90f90b5e3fc |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3a9b9ff881908edc10f29f62df1c |
completed | March 22, 2026, 12:40 a.m. |
Created at: March 20, 2026, 2:04 p.m.