Triple
T32925201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Covenant-breaking (Bahá'í Faith) |
E842250
|
entity |
| Predicate | aimOfSanctions |
P42046
|
FINISHED |
| Object | protection of the unity of the Bahá'í community |
—
|
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: protection of the unity of the Bahá'í community | Statement: [Covenant-breaking (Bahá'í Faith), aimOfSanctions, protection of the unity of the Bahá'í community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimOfSanctions Context triple: [Covenant-breaking (Bahá'í Faith), aimOfSanctions, protection of the unity of the Bahá'í community]
-
A.
appliedSanctionsTo
Indicates that one entity has imposed sanctions or punitive restrictions on another entity.
-
B.
sanctionsTarget
Indicates that an entity imposes sanctions or punitive measures against another entity as its target.
-
C.
imposesSanctionsOn
Indicates that one entity enforces punitive or restrictive measures against another entity, typically to influence or penalize its behavior.
-
D.
reasonForSanctions
chosen
Indicates the underlying cause or justification for imposing sanctions on an entity.
-
E.
relatedSanctions
Indicates that there is an association between an entity and one or more sanctions, such as penalties, restrictions, or punitive measures applied in connection with that entity.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d0d980208190b9038470f1e4022e |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:20 a.m.