Triple
T19230714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Denis Street (portion) |
E480863
|
entity |
| Predicate | hasUrbanDesignElement |
P87338
|
FINISHED |
| Object | sidewalk cafés |
—
|
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: sidewalk cafés | Statement: [Saint-Denis Street (portion), hasUrbanDesignElement, sidewalk cafés]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanDesignElement Context triple: [Saint-Denis Street (portion), hasUrbanDesignElement, sidewalk cafés]
-
A.
urbanDesignElement
chosen
Indicates a relationship where something functions as a designed feature or component that shapes the form, use, or experience of an urban environment.
-
B.
hasUrbanDesign
Indicates that an entity possesses or is associated with a specific urban design plan, feature, or configuration.
-
C.
hasUrbanFeature
Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
-
D.
hasUrbanDesignFocus
Indicates a relationship where an entity is concerned with, oriented toward, or specialized in urban design as a primary focus.
-
E.
hasUrbanFabric
Indicates that one entity possesses, contains, or is characterized by a particular pattern or structure of built-up urban development.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9ce5e081909df994841ce476d5 |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:25 p.m.