Triple
T94135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Tradition |
E1891
|
entity |
| Predicate | isViewedAs |
P310
|
FINISHED |
| Object | work of the Holy Spirit in the Church |
—
|
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: work of the Holy Spirit in the Church | Statement: [Holy Tradition, isViewedAs, work of the Holy Spirit in the Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isViewedAs Context triple: [Holy Tradition, isViewedAs, work of the Holy Spirit in the Church]
-
A.
hasView
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
-
B.
viewsGraceAs
Indicates that one entity regards or perceives Grace in a particular way or role.
-
C.
isUsedAs
Indicates that one entity serves a particular function, role, or purpose as another entity.
-
D.
recognizedAs
chosen
Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
-
E.
envisionedAs
Indicates that one entity is mentally pictured, imagined, or conceived in terms of another entity or role.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a2512ef600819084d3c627f0d534f4 |
completed | Feb. 28, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69a24eb9a5ac8190b1d1300e8c4e3606 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.