Triple
T32706889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Juno Sospita |
E836296
|
entity |
| Predicate | isDedicatedToType |
P36403
|
FINISHED |
| Object | goddess of protection |
—
|
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: goddess of protection | Statement: [Sanctuary of Juno Sospita, isDedicatedToType, goddess of protection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDedicatedToType Context triple: [Sanctuary of Juno Sospita, isDedicatedToType, goddess of protection]
-
A.
isSpecializedFor
Indicates that one entity is specifically adapted, designed, or focused to perform optimally for a particular function, context, or domain associated with another entity.
-
B.
hasCollectionDedicatedTo
Indicates that one entity maintains a collection specifically devoted or dedicated to another entity.
-
C.
isDedicatedTax
Indicates that a tax is specifically earmarked for a particular purpose, fund, or use rather than going into general revenue.
-
D.
dedicationType
chosen
Indicates the specific kind or category of dedication that characterizes the relationship or action between entities.
-
E.
hasComponentDedication
Indicates that an entity includes or is associated with a specific dedication as one of its components.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c851d2488190a93924bca6b167d1 |
completed | May 3, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:10 a.m.