Triple
T12954407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple Quarter area |
E309973
|
entity |
| Predicate | urbanPlanningObjective |
P70554
|
FINISHED |
| Object | economic growth |
—
|
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: economic growth | Statement: [Temple Quarter area, urbanPlanningObjective, economic growth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanPlanningObjective Context triple: [Temple Quarter area, urbanPlanningObjective, economic growth]
-
A.
urbanDesignGoal
chosen
Indicates a goal or intended outcome related to the planning, shaping, or improvement of urban spaces and environments.
-
B.
urbanPlanningFunction
Indicates a functional role or purpose that something serves within the planning, organization, or management of urban spaces and infrastructure.
-
C.
urbanPlanningOutcome
Indicates the result or impact that urban planning decisions or processes have on a place, system, or population.
-
D.
urbanPlanningTheme
Indicates a thematic relationship in which an entity is concerned with, addresses, or is categorized under topics related to urban planning.
-
E.
urbanPlanningForm
Indicates the specific type or structure of urban planning approach applied to a place or 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:44 p.m.