Triple
T12633923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summa |
E301709
|
entity |
| Predicate | epistemicApproach |
P80926
|
FINISHED |
| Object | faith seeking understanding |
—
|
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: faith seeking understanding | Statement: [Summa, epistemicApproach, faith seeking understanding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: epistemicApproach Context triple: [Summa, epistemicApproach, faith seeking understanding]
-
A.
epistemicAttitude
Indicates the type or stance of a subject’s knowledge, belief, or certainty toward a proposition or statement.
-
B.
epistemologicalFocus
chosen
Indicates that something is primarily concerned with questions about knowledge, its nature, sources, justification, or limits.
-
C.
epistemicRole
Indicates the role an entity plays in a knowledge-related context, such as being a knower, source, or bearer of information or belief.
-
D.
epistemicStatus
Indicates the degree of certainty, justification, or knowledge an agent has regarding a particular proposition or claim.
-
E.
usesEpistemicMeans
Indicates that an agent employs knowledge-related methods, reasoning, or informational tools as the means to carry out or support an action or relationship.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:15 p.m.