Triple
T1066812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edict of Nantes |
E23227
|
entity |
| Predicate | typeOfRightGranted |
P5038
|
FINISHED |
| Object | civil rights irrespective of religion |
—
|
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: civil rights irrespective of religion | Statement: [Edict of Nantes, typeOfRightGranted, civil rights irrespective of religion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRightGranted Context triple: [Edict of Nantes, typeOfRightGranted, civil rights irrespective of religion]
-
A.
typeOfRight
chosen
Indicates the specific category or nature of a right that is held, exercised, or assigned in a given context.
-
B.
typeOfPowerGranted
Indicates the specific kind or category of power or authority that is conferred from one entity to another.
-
C.
authorityGranted
Indicates that one entity has formally given another entity the power, rights, or permission to act or make decisions, typically within a defined scope or context.
-
D.
grantedPower
Indicates that one entity has conferred authority, control, or a specific capability to another entity.
-
E.
styleGranted
Indicates that a particular style, manner, or mode of expression has been conferred or authorized for use by one entity to another.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b9e1047481909af1cf8df2a01fff |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b736f1e881909bace735b38c0ade |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.