Triple
T2801489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk, England |
E53163
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Bungay
Bungay is a historic market town and civil parish situated on the River Waveney in Suffolk, England.
|
E299691
|
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: Bungay | Statement: [Suffolk, England, containsSettlement, Bungay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bungay Context triple: [Suffolk, England, containsSettlement, Bungay]
-
A.
Rothbury
Rothbury is a historic market town and civil parish in Northumberland, England, situated on the River Coquet and known as a gateway to the Northumberland National Park.
-
B.
Brundall
Brundall is a village in Norfolk, England, known for its riverside location in the Norfolk Broads and its boating and leisure activities.
-
C.
Mundesley
Mundesley is a coastal village and seaside resort on the North Sea in Norfolk, England, known for its sandy beaches and traditional holiday atmosphere.
-
D.
Morpeth
Morpeth is a historic market town in Northumberland, England, known for its traditional architecture and role as a local commercial and administrative centre.
-
E.
Buntingford
Buntingford is a small historic market town in Hertfordshire, England, known for its traditional high street and rural surroundings.
- 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: Bungay Triple: [Suffolk, England, containsSettlement, Bungay]
Generated description
Bungay is a historic market town and civil parish situated on the River Waveney in Suffolk, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bungay Target entity description: Bungay is a historic market town and civil parish situated on the River Waveney in Suffolk, England.
-
A.
Rothbury
Rothbury is a historic market town and civil parish in Northumberland, England, situated on the River Coquet and known as a gateway to the Northumberland National Park.
-
B.
Brundall
Brundall is a village in Norfolk, England, known for its riverside location in the Norfolk Broads and its boating and leisure activities.
-
C.
Mundesley
Mundesley is a coastal village and seaside resort on the North Sea in Norfolk, England, known for its sandy beaches and traditional holiday atmosphere.
-
D.
Morpeth
Morpeth is a historic market town in Northumberland, England, known for its traditional architecture and role as a local commercial and administrative centre.
-
E.
Buntingford
Buntingford is a small historic market town in Hertfordshire, England, known for its traditional high street and rural surroundings.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde1117148190b0c98f906f1c872e |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66d1e488190a4b85decfb38097f |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc8b12b848190ad514eed2d26a90f |
completed | March 10, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc9413e1881908fc091b98913e1cf |
completed | March 10, 2026, 7:33 a.m. |
Created at: March 6, 2026, 9:58 p.m.