Triple
T11523815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Thurne |
E273235
|
entity |
| Predicate | hasSettlementOnBank |
P1010
|
FINISHED |
| Object |
Martham
Martham is a village in Norfolk, England, known for its traditional rural character and proximity to the Norfolk Broads.
|
E930115
|
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: Martham | Statement: [River Thurne, hasSettlementOnBank, Martham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martham Context triple: [River Thurne, hasSettlementOnBank, Martham]
-
A.
Tormarton
Tormarton is a small rural village and civil parish in South Gloucestershire, England, near the Cotswolds and close to the M4 motorway.
-
B.
Thrupp
Thrupp is a small canal-side village in Oxfordshire, England, known for its historic wharf and picturesque setting along the Oxford Canal.
-
C.
Shottisham
Shottisham is a small rural village and civil parish in the English county of Suffolk, known for its traditional countryside character and historic church.
-
D.
Meopham
Meopham is a large rural village and civil parish in north-west Kent, England, known for its historic buildings, green spaces, and traditional village character.
-
E.
Blunham
Blunham is a village in Bedfordshire, England, known for its rural setting near the River Ivel and historic parish church.
- 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: Martham Triple: [River Thurne, hasSettlementOnBank, Martham]
Generated description
Martham is a village in Norfolk, England, known for its traditional rural character and proximity to the Norfolk Broads.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martham Target entity description: Martham is a village in Norfolk, England, known for its traditional rural character and proximity to the Norfolk Broads.
-
A.
Tormarton
Tormarton is a small rural village and civil parish in South Gloucestershire, England, near the Cotswolds and close to the M4 motorway.
-
B.
Thrupp
Thrupp is a small canal-side village in Oxfordshire, England, known for its historic wharf and picturesque setting along the Oxford Canal.
-
C.
Shottisham
Shottisham is a small rural village and civil parish in the English county of Suffolk, known for its traditional countryside character and historic church.
-
D.
Meopham
Meopham is a large rural village and civil parish in north-west Kent, England, known for its historic buildings, green spaces, and traditional village character.
-
E.
Blunham
Blunham is a village in Bedfordshire, England, known for its rural setting near the River Ivel and historic parish church.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd26648819083de19bcddf8ad69 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e62562efb88190bbf3c7bbec8233aa |
completed | April 20, 2026, 1:08 p.m. |
| NEDg | Description generation | batch_69e62cf5b9988190bc1935993f0111f7 |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e66433ddb48190994bb1160b0ff732 |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:37 p.m.