Triple
T1110018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunbridge Wells borough |
E25572
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Brenchley
Brenchley is a rural village in Kent, England, known for its historic buildings and picturesque countryside setting.
|
E163458
|
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: Brenchley | Statement: [Tunbridge Wells borough, contains, Brenchley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brenchley Context triple: [Tunbridge Wells borough, contains, Brenchley]
-
A.
Paddock Wood
Paddock Wood is a small town in Kent, England, known for its agricultural history and role as a local transport and commercial hub.
-
B.
Pangbourne
Pangbourne is a picturesque village on the River Thames in Berkshire, England, known for its literary associations and scenic rural charm.
-
C.
Camberley
Camberley is a suburban town in southeast England known for its shopping centre, commuter links to London, and proximity to the Royal Military Academy Sandhurst.
-
D.
Selsey
Selsey is a coastal town in West Sussex, England, historically notable as the original seat of the Anglo-Saxon bishops of the Kingdom of Sussex before the see moved to Chichester.
-
E.
Hordley
Hordley is a small rural settlement located in the parish of St. Thomas in the East, Jamaica.
- 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: Brenchley Triple: [Tunbridge Wells borough, contains, Brenchley]
Generated description
Brenchley is a rural village in Kent, England, known for its historic buildings and picturesque countryside setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brenchley Target entity description: Brenchley is a rural village in Kent, England, known for its historic buildings and picturesque countryside setting.
-
A.
Paddock Wood
Paddock Wood is a small town in Kent, England, known for its agricultural history and role as a local transport and commercial hub.
-
B.
Pangbourne
Pangbourne is a picturesque village on the River Thames in Berkshire, England, known for its literary associations and scenic rural charm.
-
C.
Camberley
Camberley is a suburban town in southeast England known for its shopping centre, commuter links to London, and proximity to the Royal Military Academy Sandhurst.
-
D.
Selsey
Selsey is a coastal town in West Sussex, England, historically notable as the original seat of the Anglo-Saxon bishops of the Kingdom of Sussex before the see moved to Chichester.
-
E.
Hordley
Hordley is a small rural settlement located in the parish of St. Thomas in the East, Jamaica.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4ba045fd88190982e1c6278fb9ca3 |
completed | March 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0142faf081908cf82f2b73490947 |
completed | March 8, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69ad020222708190a4b383a54418251a |
completed | March 8, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad02a0c0ac8190b01cf36b76c702f0 |
completed | March 8, 2026, 5:01 a.m. |
Created at: March 1, 2026, 7:43 p.m.