Triple
T29249207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeon Mall |
E741514
|
entity |
| Predicate | typicalFacilityType |
—
|
GENERATED |
| Object | large-scale suburban shopping mall |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFacilityType Context triple: [Aeon Mall, typicalFacilityType, large-scale suburban shopping mall]
-
A.
designedFacilityType
Indicates the type or category of facility that something (such as a plan, system, or component) is specifically designed for.
-
B.
fccFacilityType
Indicates the specific type or classification of a facility as defined by the FCC (Federal Communications Commission).
-
C.
primaryFacilityType
Indicates the main or predominant type or category of facility associated with an entity.
-
D.
namedFacilityType
Indicates that a facility is associated with or classified under a specific named type or category of facility.
-
E.
hasFacilityType
chosen
Indicates that an entity possesses or is associated with a specific type or category of facility.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 28, 2026, 12:33 p.m.