Triple
T35693523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horacio Avenue |
E1031368
|
entity |
| Predicate | streetscapeElement |
P45553
|
FINISHED |
| Object | sidewalks with trees |
—
|
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: sidewalks with trees | Statement: [Horacio Avenue, streetscapeElement, sidewalks with trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetscapeElement Context triple: [Horacio Avenue, streetscapeElement, sidewalks with trees]
-
A.
isPartOfStreetscape
chosen
Indicates that something forms a component or element within the overall layout or visual composition of a streetscape.
-
B.
streetscapeStyle
Indicates the characteristic visual and design style that defines the overall appearance and layout of a street and its surrounding public realm.
-
C.
urbanDesignElement
Indicates a relationship where something functions as a designed feature or component that shapes the form, use, or experience of an urban environment.
-
D.
hasStreetFurniture
Indicates that a location or area contains installed public fixtures such as benches, lamps, bins, or similar street furniture.
-
E.
partOfUrbanLayout
Indicates that one entity is a component or constituent element within the overall structure or organization of an urban area.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:05 p.m.