Triple
T9029584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zcash |
E216133
|
entity |
| Predicate | supportsRegulatoryComplianceViaSelectiveDisclosure |
P53832
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Zcash, supportsRegulatoryComplianceViaSelectiveDisclosure, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsRegulatoryComplianceViaSelectiveDisclosure Context triple: [Zcash, supportsRegulatoryComplianceViaSelectiveDisclosure, true]
-
A.
providesCompliance
Indicates that one entity supplies or ensures adherence to required rules, standards, or regulations for another entity.
-
B.
supportsRegulation
Indicates that one entity endorses, backs, or advocates for the implementation or continuation of a specific regulation.
-
C.
indicatesComplianceWith
Indicates that one entity conforms to, satisfies, or adheres to the rules, standards, or requirements specified by another entity or framework.
-
D.
supportsRegulationBy
chosen
Indicates that one entity provides assistance, resources, or mechanisms that enable or enhance the regulatory control exerted by another entity.
-
E.
regulatesComplianceWith
Indicates that one entity oversees, enforces, or sets rules to ensure another entity adheres to specified standards, laws, or requirements.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a9bcb508190b58751f1772407d4 |
completed | April 1, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee3597c81908919cf866ae95c24 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:08 p.m.