Triple
T35143465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayyappa temple |
E1014756
|
entity |
| Predicate | typicalVisitorDressCode |
—
|
GENERATED |
| Object | traditional Hindu attire |
—
|
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: typicalVisitorDressCode Context triple: [Ayyappa temple, typicalVisitorDressCode, traditional Hindu attire]
-
A.
hasDressCode
Indicates that a specified entity enforces or is associated with a particular set of rules governing appropriate clothing or attire.
-
B.
entranceAttire
chosen
Indicates the required or appropriate clothing or dress code for entering a particular place or event.
-
C.
usualAttire
Indicates the type of clothing an entity typically wears in ordinary or characteristic situations.
-
D.
typicalVisitorBehavior
Indicates the usual or characteristic way visitors act, respond, or interact in a given context or environment.
-
E.
typicalVisitType
Indicates the usual or most common category of visit associated with an entity or event.
- 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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.