Triple
T36976358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyde Park, Sandton |
E914708
|
entity |
| Predicate | urbanVegetation |
P949
|
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: [Hyde Park, Sandton, urbanVegetation, tree-lined streets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanVegetation Context triple: [Hyde Park, Sandton, urbanVegetation, tree-lined streets]
-
A.
isUrbanForest
Indicates that an area of trees and vegetation is located within or closely integrated with an urban or suburban environment.
-
B.
vegetation
chosen
Indicates that an area or object is covered with, contains, or is characterized by plant life.
-
C.
vegetationType
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
-
D.
urbanLandscapeCharacterizedBy
Indicates that an urban landscape possesses or is defined by specific distinguishing features, qualities, or elements.
-
E.
isUrbanOpenSpace
Indicates that a given area functions as an open, publicly accessible space within an urban environment.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.