Triple
T17764411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filioque controversy |
E443465
|
entity |
| Predicate | hasCanonicalIssue |
P128848
|
FINISHED |
| Object | unilateral alteration of an ecumenical creed |
—
|
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: unilateral alteration of an ecumenical creed | Statement: [Filioque controversy, hasCanonicalIssue, unilateral alteration of an ecumenical creed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalIssue Context triple: [Filioque controversy, hasCanonicalIssue, unilateral alteration of an ecumenical creed]
-
A.
hasCanonicalProblem
Indicates that an entity is associated with, or exemplifies, a standard or canonical problem instance used to represent its core issue or challenge.
-
B.
hasIssueWith
Indicates that one entity experiences a problem, conflict, or concern related to another entity.
-
C.
hasTargetIssue
Indicates that an entity is associated with or directed toward a specific issue, problem, or concern as its focus.
-
D.
hasRecentIssue
Indicates that an entity is associated with an issue or problem that has occurred within a recent or specified time frame.
-
E.
hasNoIssue
Indicates that there are no problems, defects, or conflicts associated with the referenced entity or situation.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fb2a3c81908887d1d36aee942d |
completed | April 19, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:11 a.m.