Triple
T1897208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Kennet |
E37609
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Kintbury
Kintbury is a rural village in Berkshire, England, known for its picturesque countryside setting and historic charm.
|
E211709
|
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: Kintbury | Statement: [River Kennet, passesThrough, Kintbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kintbury Context triple: [River Kennet, passesThrough, Kintbury]
-
A.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
-
B.
Buntingford
Buntingford is a small historic market town in Hertfordshire, England, known for its traditional high street and rural surroundings.
-
C.
Hertingfordbury
Hertingfordbury is a small historic village and civil parish in Hertfordshire, England, known for its rural character and traditional English countryside setting.
-
D.
Wadhurst
Wadhurst is a rural village in East Sussex, England, known for its historic High Street, surrounding Wealden countryside, and role as a commuter community for nearby towns and London.
-
E.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
- 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: Kintbury Triple: [River Kennet, passesThrough, Kintbury]
Generated description
Kintbury is a rural village in Berkshire, England, known for its picturesque countryside setting and historic charm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kintbury Target entity description: Kintbury is a rural village in Berkshire, England, known for its picturesque countryside setting and historic charm.
-
A.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
-
B.
Buntingford
Buntingford is a small historic market town in Hertfordshire, England, known for its traditional high street and rural surroundings.
-
C.
Hertingfordbury
Hertingfordbury is a small historic village and civil parish in Hertfordshire, England, known for its rural character and traditional English countryside setting.
-
D.
Wadhurst
Wadhurst is a rural village in East Sussex, England, known for its historic High Street, surrounding Wealden countryside, and role as a commuter community for nearby towns and London.
-
E.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb16f416c8190a49b24523b3a7f85 |
completed | March 7, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaee6a048190afd01ab6339a2921 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adeb6f7f208190af892c3c25961438 |
completed | March 8, 2026, 9:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec28f9188190a58e1a9d792943f6 |
completed | March 8, 2026, 9:37 p.m. |
Created at: March 4, 2026, 7:35 p.m.