Triple
T23846061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravenna Cathedral |
E592022
|
entity |
| Predicate | hasClergyResidence |
P154171
|
FINISHED |
| Object | archbishop’s residence of Ravenna |
—
|
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: archbishop’s residence of Ravenna | Statement: [Ravenna Cathedral, hasClergyResidence, archbishop’s residence of Ravenna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClergyResidence Context triple: [Ravenna Cathedral, hasClergyResidence, archbishop’s residence of Ravenna]
-
A.
hasClergy
Indicates that an organization or institution possesses or is served by members of the clergy.
-
B.
hasClericalStructure
Indicates that an entity possesses an organized clerical or administrative hierarchy or framework.
-
C.
hasClergyType
Indicates the specific category or role of clergy associated with an entity.
-
D.
hasReligiousParishCentre
Indicates that an entity has, is associated with, or is served by a specific religious parish center.
-
E.
hasParishHouse
Indicates that a church or parish entity possesses or is associated with a specific parish house building.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c88b59688190922d6bf329f08721 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:10 p.m.