Triple
T14725276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patchway |
E345922
|
entity |
| Predicate | hasRecreationArea |
P5383
|
FINISHED |
| Object |
Scott Park
Scott Park is a public recreational park in Patchway, South Gloucestershire, offering green space and leisure facilities for local residents.
|
E1115422
|
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: Scott Park | Statement: [Patchway, hasRecreationArea, Scott Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Park Context triple: [Patchway, hasRecreationArea, Scott Park]
-
A.
Millward Park
Millward Park is a local public park located in the city of Allen Park, Michigan, offering outdoor recreational space for residents and visitors.
-
B.
Murray Park
Murray Park is a large community park in Murray, Utah, featuring sports facilities, picnic areas, and recreational amenities for local residents and visitors.
-
C.
Green Park
Green Park is a public park in Kanpur, India, historically significant enough to lend its name to the nearby Green Park Stadium.
-
D.
Green Park
Green Park is a central London royal park known for its open lawns, mature trees, and tranquil atmosphere between Buckingham Palace and Piccadilly.
-
E.
Green Park
Green Park is a Delhi Metro station in South Delhi serving the Green Park and nearby Hauz Khas and Safdarjung areas.
- 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: Scott Park Triple: [Patchway, hasRecreationArea, Scott Park]
Generated description
Scott Park is a public recreational park in Patchway, South Gloucestershire, offering green space and leisure facilities for local residents.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scott Park Target entity description: Scott Park is a public recreational park in Patchway, South Gloucestershire, offering green space and leisure facilities for local residents.
-
A.
Millward Park
Millward Park is a local public park located in the city of Allen Park, Michigan, offering outdoor recreational space for residents and visitors.
-
B.
Murray Park
Murray Park is a large community park in Murray, Utah, featuring sports facilities, picnic areas, and recreational amenities for local residents and visitors.
-
C.
Green Park
Green Park is a public park in Kanpur, India, historically significant enough to lend its name to the nearby Green Park Stadium.
-
D.
Green Park
Green Park is a central London royal park known for its open lawns, mature trees, and tranquil atmosphere between Buckingham Palace and Piccadilly.
-
E.
Green Park
Green Park is a Delhi Metro station in South Delhi serving the Green Park and nearby Hauz Khas and Safdarjung areas.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26013c8819090512f8b4df9cc87 |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf09791e081908a1262717fd31445 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf32c1ec48190b28fb67e00b87fcd |
completed | May 8, 2026, 2:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf3cfd7b48190b5d6177c5bf0e42e |
completed | May 8, 2026, 2:31 p.m. |
Created at: April 10, 2026, 1:29 a.m.