Triple
T7368349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denmark Hill |
E169926
|
entity |
| Predicate | hasGreenSpace |
P1495
|
FINISHED |
| Object |
Lucas Gardens
Lucas Gardens is a small public park in the Denmark Hill area of London, offering green space, trees, and seating for local residents.
|
E659765
|
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: Lucas Gardens | Statement: [Denmark Hill, hasGreenSpace, Lucas Gardens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucas Gardens Context triple: [Denmark Hill, hasGreenSpace, Lucas Gardens]
-
A.
Ripley Park
Ripley Park is a public recreational park located in the small town of Marceline, Missouri.
-
B.
Tivoli Park
Tivoli Park is the largest and most famous public park in Ljubljana, Slovenia, known for its landscaped gardens, walking paths, and cultural venues.
-
C.
Agodi Gardens
Agodi Gardens is a popular recreational and tourist park in Ibadan, Nigeria, known for its lush greenery, picnic areas, and leisure facilities.
-
D.
Callaway Gardens
Callaway Gardens is a large resort and public garden complex in western Georgia known for its landscaped grounds, outdoor recreation, and seasonal events.
-
E.
Laribal Gardens
Laribal Gardens is a historic terraced garden on Barcelona’s Montjuïc hill, known for its lush vegetation, fountains, and scenic city views.
- 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: Lucas Gardens Triple: [Denmark Hill, hasGreenSpace, Lucas Gardens]
Generated description
Lucas Gardens is a small public park in the Denmark Hill area of London, offering green space, trees, and seating for local residents.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucas Gardens Target entity description: Lucas Gardens is a small public park in the Denmark Hill area of London, offering green space, trees, and seating for local residents.
-
A.
Ripley Park
Ripley Park is a public recreational park located in the small town of Marceline, Missouri.
-
B.
Tivoli Park
Tivoli Park is the largest and most famous public park in Ljubljana, Slovenia, known for its landscaped gardens, walking paths, and cultural venues.
-
C.
Agodi Gardens
Agodi Gardens is a popular recreational and tourist park in Ibadan, Nigeria, known for its lush greenery, picnic areas, and leisure facilities.
-
D.
Callaway Gardens
Callaway Gardens is a large resort and public garden complex in western Georgia known for its landscaped grounds, outdoor recreation, and seasonal events.
-
E.
Laribal Gardens
Laribal Gardens is a historic terraced garden on Barcelona’s Montjuïc hill, known for its lush vegetation, fountains, and scenic city views.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f17fe278819094eb1dd886583c6a |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802bfaa10819083ab3137dbdeefb6 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c80362bcb88190ad8c42f520d7dd56 |
completed | March 28, 2026, 4:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803da5e2c819098814b16d14cf837 |
completed | March 28, 2026, 4:37 p.m. |
Created at: March 27, 2026, 3:07 p.m.