Triple
T9481064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Crouch |
E228637
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
South Woodham Ferrers
South Woodham Ferrers is a small commuter town in Essex, England, known for its riverside setting, modern planned development, and rail links to London.
|
E803036
|
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: South Woodham Ferrers | Statement: [River Crouch, passesThrough, South Woodham Ferrers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Woodham Ferrers Context triple: [River Crouch, passesThrough, South Woodham Ferrers]
-
A.
Higham Ferrers
Higham Ferrers is a historic market town in eastern England known for its medieval architecture and long-standing civic and religious heritage.
-
B.
Grayshott
Grayshott is a village in Hampshire, England, known as the birthplace of actor Colin Firth.
-
C.
Parwich
Parwich is a small rural village in the Derbyshire Peak District of England, noted for its traditional stone buildings and scenic countryside setting.
-
D.
Wroxham
Wroxham is a village in Norfolk, England, widely regarded as the main boating and tourist centre of the Norfolk Broads.
-
E.
Lavenham
Lavenham is a historic medieval wool town in Suffolk, England, renowned for its well-preserved timber-framed buildings and picturesque streets.
- 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: South Woodham Ferrers Triple: [River Crouch, passesThrough, South Woodham Ferrers]
Generated description
South Woodham Ferrers is a small commuter town in Essex, England, known for its riverside setting, modern planned development, and rail links to London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: South Woodham Ferrers Target entity description: South Woodham Ferrers is a small commuter town in Essex, England, known for its riverside setting, modern planned development, and rail links to London.
-
A.
Higham Ferrers
Higham Ferrers is a historic market town in eastern England known for its medieval architecture and long-standing civic and religious heritage.
-
B.
Grayshott
Grayshott is a village in Hampshire, England, known as the birthplace of actor Colin Firth.
-
C.
Parwich
Parwich is a small rural village in the Derbyshire Peak District of England, noted for its traditional stone buildings and scenic countryside setting.
-
D.
Wroxham
Wroxham is a village in Norfolk, England, widely regarded as the main boating and tourist centre of the Norfolk Broads.
-
E.
Lavenham
Lavenham is a historic medieval wool town in Suffolk, England, renowned for its well-preserved timber-framed buildings and picturesque streets.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8018645c8190823d82a93635b345 |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cfebb6c8190af3296c7bfd8b3e4 |
completed | April 4, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69d12eba9968819085b9ec027c6e2814 |
completed | April 4, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12f1ccad08190907b812a12efa65b |
completed | April 4, 2026, 3:32 p.m. |
Created at: March 30, 2026, 7:54 p.m.