Triple
T13662763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaalgebierg park |
E327039
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
urban green infrastructure of Esch-sur-Alzette
The urban green infrastructure of Esch-sur-Alzette is a network of parks, natural areas, and green corridors—anchored by sites like Gaalgebierg park—that supports recreation, biodiversity, and environmental quality in the city.
|
E1054035
|
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: urban green infrastructure of Esch-sur-Alzette | Statement: [Gaalgebierg park, partOf, urban green infrastructure of Esch-sur-Alzette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: urban green infrastructure of Esch-sur-Alzette Context triple: [Gaalgebierg park, partOf, urban green infrastructure of Esch-sur-Alzette]
-
A.
Barcelona metropolitan green infrastructure network
The Barcelona metropolitan green infrastructure network is a coordinated system of natural and semi-natural spaces, corridors, and ecosystems designed to enhance biodiversity, climate resilience, and quality of life across the Barcelona metropolitan area.
-
B.
Busan urban green network
The Busan urban green network is a planned system of interconnected parks, greenways, and ecological corridors designed to enhance environmental quality and recreational space across the city of Busan, South Korea.
-
C.
Zürich city centre public spaces network
The Zürich city centre public spaces network is an interconnected system of plazas, streets, and pedestrian areas in central Zürich designed to support urban life, mobility, and public gatherings.
-
D.
Lanxmeer eco-district
Lanxmeer eco-district is a pioneering sustainable neighborhood in Culemborg, Netherlands, known for its ecological design, community participation, and innovative water and energy management.
-
E.
Birmingham metropolitan area green space network
The Birmingham metropolitan area green space network is a connected system of parks, nature preserves, and recreational greenways that provides ecological conservation, outdoor recreation, and scenic natural areas throughout the greater Birmingham region.
- 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: urban green infrastructure of Esch-sur-Alzette Triple: [Gaalgebierg park, partOf, urban green infrastructure of Esch-sur-Alzette]
Generated description
The urban green infrastructure of Esch-sur-Alzette is a network of parks, natural areas, and green corridors—anchored by sites like Gaalgebierg park—that supports recreation, biodiversity, and environmental quality in the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: urban green infrastructure of Esch-sur-Alzette Target entity description: The urban green infrastructure of Esch-sur-Alzette is a network of parks, natural areas, and green corridors—anchored by sites like Gaalgebierg park—that supports recreation, biodiversity, and environmental quality in the city.
-
A.
Barcelona metropolitan green infrastructure network
The Barcelona metropolitan green infrastructure network is a coordinated system of natural and semi-natural spaces, corridors, and ecosystems designed to enhance biodiversity, climate resilience, and quality of life across the Barcelona metropolitan area.
-
B.
Busan urban green network
The Busan urban green network is a planned system of interconnected parks, greenways, and ecological corridors designed to enhance environmental quality and recreational space across the city of Busan, South Korea.
-
C.
Zürich city centre public spaces network
The Zürich city centre public spaces network is an interconnected system of plazas, streets, and pedestrian areas in central Zürich designed to support urban life, mobility, and public gatherings.
-
D.
Lanxmeer eco-district
Lanxmeer eco-district is a pioneering sustainable neighborhood in Culemborg, Netherlands, known for its ecological design, community participation, and innovative water and energy management.
-
E.
Birmingham metropolitan area green space network
The Birmingham metropolitan area green space network is a connected system of parks, nature preserves, and recreational greenways that provides ecological conservation, outdoor recreation, and scenic natural areas throughout the greater Birmingham region.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc622a07c81909ef7fb55e719dd9a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b08d27c8190badc612c26423c0e |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78fd0d29481908bd44bda28e3b2c1 |
completed | May 3, 2026, 6:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7908d92e08190918525c59cb37b55 |
completed | May 3, 2026, 6:14 p.m. |
Created at: April 9, 2026, 9:52 p.m.