Triple
T2717683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angostura bitters |
E60005
|
entity |
| Predicate | regulatoryClassification |
P29562
|
FINISHED |
| Object | non-potable bitters |
—
|
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: non-potable bitters | Statement: [Angostura bitters, regulatoryClassification, non-potable bitters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatoryClassification Context triple: [Angostura bitters, regulatoryClassification, non-potable bitters]
-
A.
regulatoryType
Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
-
B.
governingClassification
chosen
Indicates the classification system or category framework that determines how an entity is organized, labeled, or regulated.
-
C.
regulationStatus
Indicates the regulatory condition or compliance state that applies to an entity under relevant rules or laws.
-
D.
areClassifiedBy
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
-
E.
regulatoryStandard
Indicates that one entity serves as an official rule, guideline, or benchmark that governs, constrains, or evaluates the behavior, quality, or performance of another 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaad577c8190819d3c641c2406f4 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8240920819087a812d816a55edb |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.