Triple
T10087976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bushey |
E215267
|
entity |
| Predicate | hasLocalNatureReserve |
P46488
|
FINISHED |
| Object |
Bushey Grove
Bushey Grove is a designated Local Nature Reserve in Bushey, Hertfordshire, providing protected green space for wildlife and public enjoyment.
|
E841098
|
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: Bushey Grove | Statement: [Bushey, hasLocalNatureReserve, Bushey Grove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bushey Grove Context triple: [Bushey, hasLocalNatureReserve, Bushey Grove]
-
A.
Grove Park
Grove Park is a suburban area in southeast London, England, known for its residential character and rail links into central London.
-
B.
Greenbelt Park
Greenbelt Park is a wooded national park in Greenbelt, Maryland, offering camping, hiking, and other outdoor recreation just outside Washington, D.C.
-
C.
Margrove Park
Margrove Park is a small village in the borough of Redcar and Cleveland in North Yorkshire, England.
-
D.
Woodhouse Park
Woodhouse Park is a residential neighbourhood within the Wythenshawe district of Manchester, England.
-
E.
Woodward Park
Woodward Park is a public recreational park in Manteca, California, featuring open green spaces, sports facilities, and family-friendly amenities.
- 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: Bushey Grove Triple: [Bushey, hasLocalNatureReserve, Bushey Grove]
Generated description
Bushey Grove is a designated Local Nature Reserve in Bushey, Hertfordshire, providing protected green space for wildlife and public enjoyment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bushey Grove Target entity description: Bushey Grove is a designated Local Nature Reserve in Bushey, Hertfordshire, providing protected green space for wildlife and public enjoyment.
-
A.
Grove Park
Grove Park is a suburban area in southeast London, England, known for its residential character and rail links into central London.
-
B.
Greenbelt Park
Greenbelt Park is a wooded national park in Greenbelt, Maryland, offering camping, hiking, and other outdoor recreation just outside Washington, D.C.
-
C.
Margrove Park
Margrove Park is a small village in the borough of Redcar and Cleveland in North Yorkshire, England.
-
D.
Woodhouse Park
Woodhouse Park is a residential neighbourhood within the Wythenshawe district of Manchester, England.
-
E.
Woodward Park
Woodward Park is a public recreational park in Manteca, California, featuring open green spaces, sports facilities, and family-friendly amenities.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04875748190a81d1e9ad68dda96 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b693afac819090635d2eb147bdcb |
completed | April 5, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69d2b7aecdb081909f651c1bc1bcfd75 |
completed | April 5, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b86bf8948190a79046efadc4adea |
completed | April 5, 2026, 7:30 p.m. |
Created at: March 30, 2026, 9:01 p.m.