Triple
T1254839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priestly Fraternity of Saint Peter |
E26962
|
entity |
| Predicate | clergyMayHearConfessions |
P24915
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Priestly Fraternity of Saint Peter, clergyMayHearConfessions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clergyMayHearConfessions Context triple: [Priestly Fraternity of Saint Peter, clergyMayHearConfessions, yes]
-
A.
clergyCan
Indicates that members of the clergy are permitted or authorized to perform a specified action or exercise a particular role or function.
-
B.
clergyPractice
Indicates that a member of the clergy engages in, performs, or follows a particular religious practice or ritual.
-
C.
clergyMayMarry
Indicates that members of the clergy are permitted to enter into marriage.
-
D.
hasClergy
Indicates that an organization or institution possesses or is served by members of the clergy.
-
E.
hasClergyType
Indicates the specific category or role of clergy associated with an 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bfa5a4cc819093ed686619b572d8 |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc4a1f048190bd1ddcc4cc3fe057 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:47 p.m.