Triple
T3133719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedfordshire |
E65477
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kempston
Kempston is a town in Bedfordshire, England, situated just southwest of Bedford and forming part of its urban area.
|
E330570
|
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: Kempston | Statement: [Bedfordshire, contains, Kempston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kempston Context triple: [Bedfordshire, contains, Kempston]
-
A.
Sawston
Sawston is a large village and civil parish in Cambridgeshire, England, situated just south of Cambridge and known historically for its paper and leather industries.
-
B.
Kempshott
Kempshott is a residential suburb of Basingstoke in Hampshire, England, known for its family housing and local amenities.
-
C.
Cottenham
Cottenham is a large, historic village and civil parish in Cambridgeshire, England, known for its fen-edge location and traditional rural character.
-
D.
Winchcombe
Winchcombe is a historic market town in Gloucestershire, England, known for its Cotswold stone architecture, proximity to Sudeley Castle, and scenic walking trails.
-
E.
Shrivenham
Shrivenham is a village in Oxfordshire, England, known for its historic high street, rural setting, and association with nearby military and academic institutions.
- 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: Kempston Triple: [Bedfordshire, contains, Kempston]
Generated description
Kempston is a town in Bedfordshire, England, situated just southwest of Bedford and forming part of its urban area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kempston Target entity description: Kempston is a town in Bedfordshire, England, situated just southwest of Bedford and forming part of its urban area.
-
A.
Sawston
Sawston is a large village and civil parish in Cambridgeshire, England, situated just south of Cambridge and known historically for its paper and leather industries.
-
B.
Kempshott
Kempshott is a residential suburb of Basingstoke in Hampshire, England, known for its family housing and local amenities.
-
C.
Cottenham
Cottenham is a large, historic village and civil parish in Cambridgeshire, England, known for its fen-edge location and traditional rural character.
-
D.
Winchcombe
Winchcombe is a historic market town in Gloucestershire, England, known for its Cotswold stone architecture, proximity to Sudeley Castle, and scenic walking trails.
-
E.
Shrivenham
Shrivenham is a village in Oxfordshire, England, known for its historic high street, rural setting, and association with nearby military and academic institutions.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada56104ec8190a14591ed73f3fe83 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f84d8288190b1f48fa0f5c10773 |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b2102e35b08190ad9ca397f0c937da |
completed | March 12, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b21458b07081909d75886e0d9f88e9 |
completed | March 12, 2026, 1:18 a.m. |
Created at: March 8, 2026, 3:05 p.m.