Triple
T36686278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadyba |
E905824
|
entity |
| Predicate | greenInfrastructure |
P114793
|
FINISHED |
| Object | tree-lined streets |
—
|
LITERAL FINISHED |
How this triple was built (2 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: tree-lined streets | Statement: [Sadyba, greenInfrastructure, tree-lined streets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: greenInfrastructure Context triple: [Sadyba, greenInfrastructure, tree-lined streets]
-
A.
isGreenInfrastructure
chosen
Indicates that something functions as green infrastructure, meaning it is a natural or nature-based system designed to provide environmental benefits such as stormwater management, habitat support, or climate regulation.
-
B.
hasGreenRoof
Indicates that a building or structure possesses a roof that is covered with vegetation or designed as a green roof.
-
C.
environmentalDesign
Indicates a relationship where one entity plans, organizes, or shapes physical or virtual surroundings to influence environmental quality, sustainability, or user experience.
-
D.
urbanAdaptation
Indicates how well an entity adjusts its behavior, structure, or function to survive and operate effectively in urban environments.
-
E.
isGreenSpaceFor
Indicates that one entity serves as a designated green or open space intended for use or benefit by another entity.
- F. None of above.
Provenance (3 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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c7c348bc8190818e0fcf70d03468 |
completed | May 3, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.