Triple
T23562112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Maria della Neve |
E579269
|
entity |
| Predicate | usedAsDedicationFor |
P153166
|
FINISHED |
| Object | Catholic churches |
—
|
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: Catholic churches | Statement: [Santa Maria della Neve, usedAsDedicationFor, Catholic churches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsDedicationFor Context triple: [Santa Maria della Neve, usedAsDedicationFor, Catholic churches]
-
A.
dedicationType
Indicates the specific kind or category of dedication that characterizes the relationship or action between entities.
-
B.
dedicatee
Indicates the person or entity to whom a work, such as a book, artwork, or performance, is formally dedicated.
-
C.
dedicationBy
Indicates that one entity formally dedicates, commits, or devotes another entity (such as a work, resource, or effort) to a particular person, purpose, or cause.
-
D.
hasDedicationPurpose
Indicates that something is dedicated, devoted, or assigned to serve a particular purpose or function.
-
E.
dedicatedOnOccasionOf
Indicates that something (typically a work, object, or event) is formally dedicated in connection with or to commemorate a particular occasion.
- F. None of above. chosen
Provenance (4 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af68cddc8190ab9d0b7ee1f157ed |
completed | April 29, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:23 p.m.