Triple
T3293890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A4 road |
E69163
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Calne
Calne is a historic market town in Wiltshire, England, known for its former bacon-curing industry and location in the North Wessex Downs area.
|
E346478
|
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: Calne | Statement: [A4 road, passesThrough, Calne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calne Context triple: [A4 road, passesThrough, Calne]
-
A.
Swindon
Swindon is a large town in Wiltshire, England, known as a major commercial and commuter hub in the southwest with strong railway and industrial heritage.
-
B.
Cirencester
Cirencester is a historic market town in south-central England, renowned for its Roman heritage and Cotswold architecture.
-
C.
Didcot
Didcot is a town in Oxfordshire, England, known historically for its railway junction and nearby power stations.
-
D.
Brize Norton
Brize Norton is a village in Oxfordshire, England, best known for its proximity to RAF Brize Norton, one of the UK’s largest and busiest Royal Air Force stations.
-
E.
Chippenham
Chippenham is a village and civil parish in the East Cambridgeshire district of Cambridgeshire, England, known for its rural character and historic estate landscapes.
- 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: Calne Triple: [A4 road, passesThrough, Calne]
Generated description
Calne is a historic market town in Wiltshire, England, known for its former bacon-curing industry and location in the North Wessex Downs area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calne Target entity description: Calne is a historic market town in Wiltshire, England, known for its former bacon-curing industry and location in the North Wessex Downs area.
-
A.
Swindon
Swindon is a large town in Wiltshire, England, known as a major commercial and commuter hub in the southwest with strong railway and industrial heritage.
-
B.
Cirencester
Cirencester is a historic market town in south-central England, renowned for its Roman heritage and Cotswold architecture.
-
C.
Didcot
Didcot is a town in Oxfordshire, England, known historically for its railway junction and nearby power stations.
-
D.
Brize Norton
Brize Norton is a village in Oxfordshire, England, best known for its proximity to RAF Brize Norton, one of the UK’s largest and busiest Royal Air Force stations.
-
E.
Chippenham
Chippenham is a village and civil parish in the East Cambridgeshire district of Cambridgeshire, England, known for its rural character and historic estate landscapes.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb074f35081909dd3c8a09544b5f1 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3cfec98819094208d2cb6e459ea |
completed | March 12, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_69b2f981d4688190a81989f19fd79998 |
completed | March 12, 2026, 5:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3132914088190b89a522e5d4106eb |
completed | March 12, 2026, 7:25 p.m. |
Created at: March 8, 2026, 3:10 p.m.