Triple
T15325698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kahnawà:ke Gaming Commission |
E366404
|
entity |
| Predicate | appliesRegulatoryFrameworkTo |
P34675
|
FINISHED |
| Object | licensees |
—
|
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: licensees | Statement: [Kahnawà:ke Gaming Commission, appliesRegulatoryFrameworkTo, licensees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesRegulatoryFrameworkTo Context triple: [Kahnawà:ke Gaming Commission, appliesRegulatoryFrameworkTo, licensees]
-
A.
appliesRegulatoryStandard
Indicates that one entity enforces or uses a specific regulatory standard in relation to another entity or context.
-
B.
hasRegulations
chosen
Indicates that one entity imposes, contains, or is associated with rules or regulatory requirements that govern the behavior or operation of another entity.
-
C.
associatedWithRegulation
Indicates a relationship where something is linked to, governed by, or relevant to a specific regulation or regulatory framework.
-
D.
supportsRegulation
Indicates that one entity endorses, backs, or advocates for the implementation or continuation of a specific regulation.
-
E.
subjectToRegulation
Indicates that an entity is governed, constrained, or controlled by a specific rule, law, or regulatory framework.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dfd8f048190831b463a2728eafe |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.