Triple
T16667881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cardinal-bishop of Albano |
E405029
|
entity |
| Predicate | hasCanonicalErectionAs |
P124197
|
FINISHED |
| Object | suburbicarian diocese |
—
|
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: suburbicarian diocese | Statement: [Cardinal-bishop of Albano, hasCanonicalErectionAs, suburbicarian diocese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalErectionAs Context triple: [Cardinal-bishop of Albano, hasCanonicalErectionAs, suburbicarian diocese]
-
A.
hasCanonicalErectionBy
Indicates that an entity’s standard or officially recognized form, structure, or establishment is brought about or instituted by another specified entity.
-
B.
mayErect
Indicates that one entity is permitted or authorized to construct or put up another entity (such as a structure or installation).
-
C.
hasCanonization
Indicates that an entity has undergone or been granted formal canonization, typically recognizing it as officially sainted or sanctified.
-
D.
hasStand
Indicates that an entity possesses, is equipped with, or is supported by a stand or base structure.
-
E.
hasSex
Indicates that one entity engages in sexual activity with another entity.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9e9a208190afab499897ce4361 |
completed | April 18, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:18 a.m.