Triple
T28420730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington State Code Reviser |
E719932
|
entity |
| Predicate | typeOfLawPublished |
P6527
|
FINISHED |
| Object | statutory law |
—
|
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: statutory law | Statement: [Washington State Code Reviser, typeOfLawPublished, statutory law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLawPublished Context triple: [Washington State Code Reviser, typeOfLawPublished, statutory law]
-
A.
typeOfLaw
chosen
Indicates that one entity is a specific category or kind of law to which the other entity pertains.
-
B.
typeOfLawReport
Indicates the specific category or classification of a law report (e.g., official, unofficial, regional, specialized) associated with a legal case or decision.
-
C.
typeOfLawCollection
Indicates that a given collection is categorized as a specific type of law collection (e.g., by legal domain, jurisdiction, or purpose).
-
D.
legalCitationType
Indicates the specific kind or category of legal citation that characterizes the relationship between the citing and cited legal sources.
-
E.
legalOpinionsIssuedOn
Indicates that one or more legal opinions were formally issued or rendered on a particular date, case, matter, or subject.
- 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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fe91383a1c81909266e40c3c3ede6c |
completed | May 9, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69fe8fde094081908f0f121664fbb5c7 |
completed | May 9, 2026, 1:37 a.m. |
Created at: April 28, 2026, 1:33 a.m.