Triple
T19066644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brackenhurst Campus |
E466675
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Southwell |
—
|
NE NERFINISHED |
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: Southwell | Statement: [Brackenhurst Campus, locatedNear, Southwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southwell Context triple: [Brackenhurst Campus, locatedNear, Southwell]
-
A.
Southwell
chosen
Southwell is a historic town in Nottinghamshire, England, best known for its medieval Southwell Minster and picturesque market-town character.
-
B.
Southwell
Southwell is a small coastal settlement on the Isle of Portland in Dorset, England, known for its proximity to dramatic cliffs and quarrying heritage.
-
C.
Steeton
Steeton is a village in West Yorkshire, England, situated near Keighley in the Aire Valley.
-
D.
Ketton
Ketton is a village and civil parish in Rutland, England, known for its historic limestone quarries and rural character.
-
E.
Wolsingham
Wolsingham is a small historic market town and civil parish in County Durham, England, situated in the rural valley of Weardale.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19918848190abb6dd060a9dbecb |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 10, 2026, 12:03 p.m.