Triple
T5946920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of the Immacolata Concezione, Turin |
E132301
|
entity |
| Predicate | hasClericalAffiliation |
P9815
|
FINISHED |
| Object | Roman Catholic clergy |
—
|
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: Roman Catholic clergy | Statement: [Church of the Immacolata Concezione, Turin, hasClericalAffiliation, Roman Catholic clergy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClericalAffiliation Context triple: [Church of the Immacolata Concezione, Turin, hasClericalAffiliation, Roman Catholic clergy]
-
A.
hasClericalFunction
Indicates that an entity performs, is responsible for, or is associated with a clerical or administrative function.
-
B.
hasClergy
chosen
Indicates that an organization or institution possesses or is served by members of the clergy.
-
C.
hasClergyType
Indicates the specific category or role of clergy associated with an entity.
-
D.
hasClericalProvince
Indicates that one ecclesiastical jurisdiction or entity is part of, or belongs to, a specific clerical (church) province.
-
E.
isClericalBodyFor
Indicates that one entity functions as the official clerical or administrative body responsible for serving, supporting, or governing another entity.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0335806788190b6488ca8b73f7a63 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:01 p.m.