Triple
T23388754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Verdun |
E593953
|
entity |
| Predicate | religiousDuties |
P2330
|
FINISHED |
| Object | teaching the Catholic faith |
—
|
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: teaching the Catholic faith | Statement: [Bishop of Verdun, religiousDuties, teaching the Catholic faith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousDuties Context triple: [Bishop of Verdun, religiousDuties, teaching the Catholic faith]
-
A.
religiousFunction
chosen
Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
-
B.
religiousMood
Indicates a prevailing emotional or spiritual atmosphere associated with religious experience, practice, or devotion between entities.
-
C.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
D.
religiousObligationStatus
Indicates the status or condition of an entity’s religious duty or obligation, such as whether it is required, optional, fulfilled, or unfulfilled.
-
E.
religiousMotivation
Indicates that an action, decision, or relationship is driven or significantly influenced by religious beliefs, values, or obligations.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a499bad88190afca1afb2e3fddb0 |
completed | April 29, 2026, 6:26 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:35 p.m.