Triple
T38034846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State |
E949320
|
entity |
| Predicate | hasCivilPracticeStatute |
P93043
|
FINISHED |
| Object | New York Civil Practice Law and Rules |
—
|
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: New York Civil Practice Law and Rules | Statement: [New York State, hasCivilPracticeStatute, New York Civil Practice Law and Rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCivilPracticeStatute Context triple: [New York State, hasCivilPracticeStatute, New York Civil Practice Law and Rules]
-
A.
haveCivilLaw
Indicates that an entity is subject to, governed by, or operates under a civil law legal system.
-
B.
hasCivilCode
Indicates that a jurisdiction, legal system, or entity is associated with or governed by a specific civil code.
-
C.
hasStatuteLaw
Indicates that a jurisdiction or entity is governed by, or possesses, a body of formal written laws enacted by a legislative authority.
-
D.
hasCivilSection
Indicates that one legal document, case, or record includes or is associated with a specific civil law section or provision.
-
E.
hasStatutes
chosen
Indicates that one entity possesses, is governed by, or is associated with a set of formal laws or statutes defined by 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: May 3, 2026, 4:20 p.m.