Triple
T3103975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cardinal-Priest of Santa Maria della Salute a Primavalle |
E64786
|
entity |
| Predicate | hasChurchType |
P45953
|
FINISHED |
| Object | titular church |
—
|
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: titular church | Statement: [Cardinal-Priest of Santa Maria della Salute a Primavalle, hasChurchType, titular church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChurchType Context triple: [Cardinal-Priest of Santa Maria della Salute a Primavalle, hasChurchType, titular church]
-
A.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
-
B.
hasParishType
Indicates that an entity is associated with or classified by a specific type or category of parish.
-
C.
hasClergyType
Indicates the specific category or role of clergy associated with an entity.
-
D.
hasMemberChurch
Indicates that a particular church is a constituent member of a larger religious organization, denomination, or church body.
-
E.
hasChurchFeature
Indicates that a church possesses or includes a particular architectural, functional, or structural feature.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26f376c8190a049399e33314d52 |
completed | March 8, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69ad9df25d4c81908ff0f6cff55d0563 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f6fef48190b13898be383a246b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:03 p.m.