Triple
T5672130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Faith and Reason |
E125001
|
entity |
| Predicate | belongsToDocumentType |
P65896
|
FINISHED |
| Object | dogmatic constitution section |
—
|
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: dogmatic constitution section | Statement: [On Faith and Reason, belongsToDocumentType, dogmatic constitution section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToDocumentType Context triple: [On Faith and Reason, belongsToDocumentType, dogmatic constitution section]
-
A.
belongsToPlatform
Indicates that something is associated with, owned by, or part of a particular platform.
-
B.
belongsToForceType
Indicates that an entity is associated with, or classified under, a specific type of force.
-
C.
belongsToSegment
Indicates that an entity is a member of, or associated with, a specific segment or subgroup within a larger set.
-
D.
documentTypeIncluded
Indicates that a particular document type is contained within, or is part of, a specified set or collection of document types.
-
E.
belongsToBlock
Indicates that something is a member or component of a specific block or grouping.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c0252e18988190a8f3aa0684c12fb8 |
completed | March 22, 2026, 5:21 p.m. |
Created at: March 22, 2026, 3:43 p.m.