Triple
T15630584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titular Archbishop of Belcastro |
E375799
|
entity |
| Predicate | requiresOrdinationRank |
P119517
|
FINISHED |
| Object | episcopal consecration |
—
|
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: episcopal consecration | Statement: [Titular Archbishop of Belcastro, requiresOrdinationRank, episcopal consecration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresOrdinationRank Context triple: [Titular Archbishop of Belcastro, requiresOrdinationRank, episcopal consecration]
-
A.
hasLiturgicalRank
Indicates that an entity is assigned a specific status or level within a liturgical or religious ceremonial hierarchy.
-
B.
ordainedIn
Indicates that an individual was formally appointed or consecrated to a religious office or role at a specific place or within a particular institution.
-
C.
allowedOrdinationOf
Indicates that one entity permits or authorizes the formal religious ordination of another entity.
-
D.
wasOrdainedAs
Indicates that an entity was formally appointed or consecrated into an official religious or ceremonial role.
-
E.
supportedByInOrdinationRequest
Indicates that an ordination request is backed or endorsed by a specified supporting party or document.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb536348190b93ed3c178d1ffb8 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:14 a.m.