Triple
T1879143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institutes of the Christian Religion |
E39810
|
entity |
| Predicate | book2Subject |
P34303
|
FINISHED |
| Object | knowledge of God the Redeemer in Christ |
—
|
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: knowledge of God the Redeemer in Christ | Statement: [Institutes of the Christian Religion, book2Subject, knowledge of God the Redeemer in Christ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: book2Subject Context triple: [Institutes of the Christian Religion, book2Subject, knowledge of God the Redeemer in Christ]
-
A.
book2Focus
Indicates that attention, interest, or emphasis is directed toward a particular book.
-
B.
book5Content
Indicates that one entity is the content or textual material contained within the book represented by the other entity.
-
C.
book7Content
Indicates that an entity contains or represents the content of book 7 in a series or collection.
-
D.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
-
E.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb4f53f408190ae30e1a12721e7d7 |
completed | March 7, 2026, 5:17 a.m. |
| PD | Predicate disambiguation | batch_69abafe497a88190a1da6af2888b71b4 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb4f3fb9481908b54506dc2836124 |
completed | March 7, 2026, 5:17 a.m. |
Created at: March 4, 2026, 7:34 p.m.