Triple
T28677399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 36 Arguments for the Existence of God |
E725906
|
entity |
| Predicate | appendixContent |
P165210
|
FINISHED |
| Object | List of 36 philosophical arguments for the existence of God |
—
|
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: List of 36 philosophical arguments for the existence of God | Statement: [36 Arguments for the Existence of God, appendixContent, List of 36 philosophical arguments for the existence of God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appendixContent Context triple: [36 Arguments for the Existence of God, appendixContent, List of 36 philosophical arguments for the existence of God]
-
A.
appendixIIIContent
Indicates that the content pertains specifically to materials, items, or information listed in Appendix III of a referenced document or convention.
-
B.
hasAppendix
Indicates that one entity includes or is associated with an appendix section related to another entity.
-
C.
appendixIIContent
Indicates that one entity is the content included in, or associated with, the second appendix of another entity.
-
D.
appendicesCount
Indicates the number of appendices associated with a given entity or document.
-
E.
articleContent
Indicates that one entity is the textual or media content that makes up the body of another entity, typically an article 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 28, 2026, 5:07 a.m.