Triple
T31528555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NY RPL |
E804409
|
entity |
| Predicate | isKeyBodyOfLawFor |
P33647
|
FINISHED |
| Object | real estate practice in New York State |
—
|
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: real estate practice in New York State | Statement: [NY RPL, isKeyBodyOfLawFor, real estate practice in New York State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKeyBodyOfLawFor Context triple: [NY RPL, isKeyBodyOfLawFor, real estate practice in New York State]
-
A.
isPrincipalBodyOfLawFor
Indicates that one body of law serves as the main or primary legal framework governing a particular subject, domain, or context.
-
B.
isKeyBodyOf
chosen
Indicates that one entity serves as the primary or central body/content component of another entity.
-
C.
governsBodyOfLaw
Indicates that one entity has authoritative control over the creation, interpretation, or enforcement of a particular body of law.
-
D.
hasStatuteLaw
Indicates that a jurisdiction or entity is governed by, or possesses, a body of formal written laws enacted by a legislative authority.
-
E.
legalCodePromulgatedBy
Indicates that a specific legal code was formally issued or enacted by a particular authority or governing body.
- 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_69f348d03ef88190a2b73d7b94b9e02d |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6bbbef7a88190b0affdec1d41c1e0 |
completed | May 3, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: April 30, 2026, 10 p.m.