Triple
T29116791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyoming State Bar |
E737066
|
entity |
| Predicate | appliesLegalRule |
P103796
|
FINISHED |
| Object | Wyoming Rules of Professional Conduct |
—
|
NE NERFINISHED |
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: Wyoming Rules of Professional Conduct | Statement: [Wyoming State Bar, appliesLegalRule, Wyoming Rules of Professional Conduct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesLegalRule Context triple: [Wyoming State Bar, appliesLegalRule, Wyoming Rules of Professional Conduct]
-
A.
appliesLawThrough
Indicates that one entity enforces, implements, or carries out a law or legal rule by means of another entity or mechanism.
-
B.
linearLawAppliesTo
Indicates that a specific linear law or linear relationship is applicable to, or governs, the referenced entity or situation.
-
C.
appliesLicensingLaw
Indicates that a particular licensing law is enforced upon or governs the subject entity in relation to the object entity or activity.
-
D.
hasLegalPrincipleInvoked
Indicates that a legal case, action, or decision relies on, cites, or is based upon a specific legal principle.
-
E.
underRule
chosen
Indicates that one entity is governed, controlled, or subject to the authority, rules, or dominion 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: April 28, 2026, 11:22 a.m.