Triple
T34157580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwardsean Calvinism |
E876181
|
entity |
| Predicate | usesCategory |
P194625
|
FINISHED |
| Object | religious affections to evaluate spiritual experience |
—
|
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: religious affections to evaluate spiritual experience | Statement: [Edwardsean Calvinism, usesCategory, religious affections to evaluate spiritual experience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCategory Context triple: [Edwardsean Calvinism, usesCategory, religious affections to evaluate spiritual experience]
-
A.
usesCategorySystem
Indicates that one entity organizes or classifies things according to a particular category system defined by another entity.
-
B.
containsCategory
Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
-
C.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
D.
categoryIUsedFor
Indicates that one entity is used as a category or classification label for another entity.
-
E.
hasCategories
Indicates that an entity is associated with one or more categories that classify or group it.
- 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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
| PDg | Predicate description generation | batch_69fd7e35967081909f8bc8389d976ffd |
completed | May 8, 2026, 6:09 a.m. |
Created at: May 1, 2026, 1:54 a.m.