Triple
T25597657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Wyoming v. Aaron McKinney |
E641696
|
entity |
| Predicate | associatedFederalLawEnactmentYear |
P24044
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [State of Wyoming v. Aaron McKinney, associatedFederalLawEnactmentYear, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedFederalLawEnactmentYear Context triple: [State of Wyoming v. Aaron McKinney, associatedFederalLawEnactmentYear, 2009]
-
A.
federalCreationYear
Indicates the year in which a federal entity was formally established or created.
-
B.
yearOfPromulgation
chosen
Indicates the specific year in which something, typically a law or formal decree, was officially enacted or put into effect.
-
C.
yearEnteredIntoForce
Indicates the year in which an agreement, law, treaty, or similar instrument officially became legally effective or operational.
-
D.
dateOfEnactment
Indicates the specific calendar date on which a law, regulation, or formal measure officially comes into force.
-
E.
legislatedOn
Indicates that a legislative body has formally considered, debated, or enacted laws or regulations concerning a particular subject or 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: April 21, 2026, 4:28 p.m.