Triple
T24988169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transfesa Road industrial area |
E625373
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | commercial and logistics park |
C6465
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: commercial and logistics park Context triple: [Transfesa Road industrial area, instanceOf, commercial and logistics park]
-
A.
commercial park
A commercial park is a planned area of land developed with multiple business facilities—such as offices, retail spaces, and light industrial units—designed to support commercial activities within a cohesive, often landscaped environment.
-
B.
industrial park
chosen
An industrial park is a planned and zoned area of land designated for industrial development, typically providing shared infrastructure, utilities, and transportation access for manufacturing, warehousing, and related businesses.
-
C.
commercial and transportation complex
A commercial and transportation complex is a multifunctional facility that integrates retail, business services, and transit infrastructure to support shopping, commerce, and the movement of people and goods.
-
D.
commercial and industrial complex
A commercial and industrial complex is a large, planned development that integrates multiple business, retail, and manufacturing or warehousing facilities within a shared infrastructure and site.
-
E.
commercial and residential complex
A commercial and residential complex is a mixed-use development that integrates living spaces with retail, office, and service facilities within a unified property or group of buildings.
- F. None of above.
Provenance (1 batch)
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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
Created at: April 18, 2026, 6:03 a.m.