Triple
T13238874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leura Mall shopping strip |
E315224
|
entity |
| Predicate | streetscapeStyle |
P108672
|
FINISHED |
| Object | heritage village |
—
|
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: heritage village | Statement: [Leura Mall shopping strip, streetscapeStyle, heritage village]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetscapeStyle Context triple: [Leura Mall shopping strip, streetscapeStyle, heritage village]
-
A.
isPartOfStreetscape
Indicates that something forms a component or element within the overall layout or visual composition of a streetscape.
-
B.
urbanPlanningStyle
Indicates the characteristic approach or methodology used in planning and organizing urban spaces and development.
-
C.
streetSet
Indicates that a particular street belongs to, or is included within, a specified set or collection of streets.
-
D.
landscapeStyle
Indicates the design style or aesthetic approach applied to a landscape or outdoor environment.
-
E.
hasTreeLinedStreets
Indicates that the streets in a given area are lined or bordered with trees along their sides.
- F. None of above. chosen
Provenance (4 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:23 p.m.