Triple
T2801488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk, England |
E53163
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Saxmundham
Saxmundham is a small market town in the English county of Suffolk, known as a local commercial and transport hub for the surrounding rural area.
|
E309042
|
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: Saxmundham | Statement: [Suffolk, England, containsSettlement, Saxmundham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saxmundham Context triple: [Suffolk, England, containsSettlement, Saxmundham]
-
A.
Shenfield
Shenfield is a suburban town in Essex, England, known as a key commuter hub with a major railway station connecting to London.
-
B.
Orsett
Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
-
C.
Saffron Walden
Saffron Walden is a historic market town in Essex, England, known for its well-preserved medieval architecture and former saffron trade.
-
D.
Teversham
Teversham is a small village and civil parish located near Cambridge in the South Cambridgeshire district of England.
-
E.
Wroxham
Wroxham is a village in Norfolk, England, widely regarded as the main boating and tourist centre of the Norfolk Broads.
- 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: Saxmundham Triple: [Suffolk, England, containsSettlement, Saxmundham]
Generated description
Saxmundham is a small market town in the English county of Suffolk, known as a local commercial and transport hub for the surrounding rural area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saxmundham Target entity description: Saxmundham is a small market town in the English county of Suffolk, known as a local commercial and transport hub for the surrounding rural area.
-
A.
Shenfield
Shenfield is a suburban town in Essex, England, known as a key commuter hub with a major railway station connecting to London.
-
B.
Orsett
Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
-
C.
Saffron Walden
Saffron Walden is a historic market town in Essex, England, known for its well-preserved medieval architecture and former saffron trade.
-
D.
Teversham
Teversham is a small village and civil parish located near Cambridge in the South Cambridgeshire district of England.
-
E.
Wroxham
Wroxham is a village in Norfolk, England, widely regarded as the main boating and tourist centre of the Norfolk Broads.
- 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_69b055cd4e1c8190a2eb97e648aa0080 |
completed | March 10, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69b05eeb3ccc81908b3af4ad99ee2bd4 |
completed | March 10, 2026, 6:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b061084ec48190b347a5d2474b70fe |
completed | March 10, 2026, 6:20 p.m. |
Created at: March 6, 2026, 9:58 p.m.