Triple
T7162769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attleborough |
E166985
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object |
Old Buckenham
Old Buckenham is a rural village in Norfolk, England, noted for its large village green and historic airfield used during World War II.
|
E646160
|
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: Old Buckenham | Statement: [Attleborough, hasNeighbouringSettlement, Old Buckenham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Buckenham Context triple: [Attleborough, hasNeighbouringSettlement, Old Buckenham]
-
A.
Fakenham Magna
Fakenham Magna is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
B.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
-
C.
Blythburgh
Blythburgh is a small historic village in Suffolk, England, known for its scenic setting by the River Blyth and its prominent medieval church, often called the “Cathedral of the Marshes.”
-
D.
Bedhampton
Bedhampton is a suburban area and former village in Hampshire, England, situated near Havant on the south coast.
-
E.
Burnham-on-Crouch
Burnham-on-Crouch is a riverside town in Essex, England, known for its sailing heritage and annual regattas on the River Crouch.
- 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: Old Buckenham Triple: [Attleborough, hasNeighbouringSettlement, Old Buckenham]
Generated description
Old Buckenham is a rural village in Norfolk, England, noted for its large village green and historic airfield used during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Old Buckenham Target entity description: Old Buckenham is a rural village in Norfolk, England, noted for its large village green and historic airfield used during World War II.
-
A.
Fakenham Magna
Fakenham Magna is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
B.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
-
C.
Blythburgh
Blythburgh is a small historic village in Suffolk, England, known for its scenic setting by the River Blyth and its prominent medieval church, often called the “Cathedral of the Marshes.”
-
D.
Bedhampton
Bedhampton is a suburban area and former village in Hampshire, England, situated near Havant on the south coast.
-
E.
Burnham-on-Crouch
Burnham-on-Crouch is a riverside town in Essex, England, known for its sailing heritage and annual regattas on the River Crouch.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e82feee481908fa180ea8c9924fa |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adc4b7648190969fab0351f9fd22 |
completed | March 28, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_69c7ae44e0d48190818b193e03aba6a4 |
completed | March 28, 2026, 10:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7aeb9373c8190ac2d282e8153201f |
completed | March 28, 2026, 10:34 a.m. |
Created at: March 27, 2026, 2:47 p.m.