Triple
T34414541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Doctrine of Redemption |
E883364
|
entity |
| Predicate | intendedTopic |
P12980
|
FINISHED |
| Object | Christian doctrine of salvation |
—
|
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: Christian doctrine of salvation | Statement: [The Doctrine of Redemption, intendedTopic, Christian doctrine of salvation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedTopic Context triple: [The Doctrine of Redemption, intendedTopic, Christian doctrine of salvation]
-
A.
topicOfDiscourse
Indicates that something serves as the subject or focus of a particular discussion, conversation, or communicative act.
-
B.
topicOfDialogue
Indicates that a particular subject or theme is the main focus of a dialogue or conversation between entities.
-
C.
primaryTopicOf
chosen
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
D.
principleTopic
Indicates that one entity serves as the main or primary subject, theme, or focus of another entity.
-
E.
interviewTopic
Indicates that a particular subject or theme is the focus of discussion during an interview.
- 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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: May 1, 2026, 1:59 a.m.