Triple
T15089872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newark and Sherwood |
E360386
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Southwell
Southwell is a historic town in Nottinghamshire, England, best known for its medieval Southwell Minster and picturesque market-town character.
|
E1136488
|
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: Southwell | Statement: [Newark and Sherwood, contains, Southwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southwell Context triple: [Newark and Sherwood, contains, Southwell]
-
A.
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.
-
B.
Steeton
Steeton is a village in West Yorkshire, England, situated near Keighley in the Aire Valley.
-
C.
Ketton
Ketton is a village and civil parish in Rutland, England, known for its historic limestone quarries and rural character.
-
D.
Wolsingham
Wolsingham is a small historic market town and civil parish in County Durham, England, situated in the rural valley of Weardale.
-
E.
Sancroft
Sancroft is an English surname most notably associated with William Sancroft, the 17th-century Archbishop of Canterbury.
- 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: Southwell Triple: [Newark and Sherwood, contains, Southwell]
Generated description
Southwell is a historic town in Nottinghamshire, England, best known for its medieval Southwell Minster and picturesque market-town character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Southwell Target entity description: Southwell is a historic town in Nottinghamshire, England, best known for its medieval Southwell Minster and picturesque market-town character.
-
A.
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.
-
B.
Steeton
Steeton is a village in West Yorkshire, England, situated near Keighley in the Aire Valley.
-
C.
Ketton
Ketton is a village and civil parish in Rutland, England, known for its historic limestone quarries and rural character.
-
D.
Wolsingham
Wolsingham is a small historic market town and civil parish in County Durham, England, situated in the rural valley of Weardale.
-
E.
Sancroft
Sancroft is an English surname most notably associated with William Sancroft, the 17th-century Archbishop of Canterbury.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00277ea808190be3f002a8316eff1 |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1d7a0c819096b035f8ca8d0e90 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feaf8e1b508190b0b5ceb64d44fad6 |
completed | May 9, 2026, 3:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb038065c8190b60266644db64092 |
completed | May 9, 2026, 3:55 a.m. |
Created at: April 10, 2026, 3:04 a.m.