Triple
T22291510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park Avenue shopping district |
E551006
|
entity |
| Predicate | streetscapeFeatures |
P20885
|
FINISHED |
| Object | street 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: street trees | Statement: [Park Avenue shopping district, streetscapeFeatures, street trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetscapeFeatures Context triple: [Park Avenue shopping district, streetscapeFeatures, street trees]
-
A.
isPartOfStreetscape
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.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
-
D.
hasStreetFurniture
Indicates that a location or area contains installed public fixtures such as benches, lamps, bins, or similar street furniture.
-
E.
hasTreeLinedStreets
chosen
Indicates that the streets in a given area are lined or bordered with trees along their sides.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560c47e481908b33de63a11e25de |
completed | April 29, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:41 p.m.