Triple
T4605170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacPherson v. Buick Motor Co. |
E100413
|
entity |
| Predicate | stateLaw |
P10245
|
FINISHED |
| Object | New York 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: New York law | Statement: [MacPherson v. Buick Motor Co., stateLaw, New York law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateLaw Context triple: [MacPherson v. Buick Motor Co., stateLaw, New York law]
-
A.
stateLawAtIssue
chosen
Indicates that a particular state law is the subject of dispute, analysis, or determination in a given legal context or case.
-
B.
stateCitation
Indicates that one state formally references or cites another state, typically in a legal, regulatory, or documentary context.
-
C.
legalSystem
Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
-
D.
tier2StateLawStatus
Indicates the legal status or condition of something as defined by a second-level (tier 2) state law or regulatory framework.
-
E.
states
Indicates that an entity formally declares, expresses, or asserts a fact, opinion, or condition about another entity or situation.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5999f9c88190a43309573df61159 |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.