Triple
T5816806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. state licensing boards |
E129005
|
entity |
| Predicate | requiresForLicensure |
P51208
|
FINISHED |
| Object | education credentials |
—
|
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: education credentials | Statement: [U.S. state licensing boards, requiresForLicensure, education credentials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresForLicensure Context triple: [U.S. state licensing boards, requiresForLicensure, education credentials]
-
A.
requiresLicenseForPractice
Indicates that engaging in the specified professional practice is legally contingent upon holding a valid license.
-
B.
requiresLicenseOf
Indicates that one entity must obtain or hold the license associated with another entity in order to use, access, or perform something.
-
C.
requiresCertification
Indicates that one entity can only be performed, accessed, or considered valid if another entity has an appropriate certification.
-
D.
evaluationRequirement
Indicates that one entity imposes or specifies conditions under which another entity must be assessed, tested, or evaluated.
-
E.
requiresEducationIn
chosen
Indicates that one entity necessitates that another entity possess education or formal training in a specified field or discipline.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.