Triple
T15658905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Court reversed the D.C. Circuit |
E376518
|
entity |
| Predicate | concernedSubjectMatter |
P106402
|
FINISHED |
| Object | licensing of nuclear power plants |
—
|
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: licensing of nuclear power plants | Statement: [Supreme Court reversed the D.C. Circuit, concernedSubjectMatter, licensing of nuclear power plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernedSubjectMatter Context triple: [Supreme Court reversed the D.C. Circuit, concernedSubjectMatter, licensing of nuclear power plants]
-
A.
concernsDomain
chosen
Indicates that something (such as an action, statement, or item) is about, relates to, or is focused on a particular domain or field.
-
B.
concernedSee
Indicates that one entity looks at or observes another with a sense of worry, care, or concern.
-
C.
concernsProblem
Indicates that something is about, related to, or deals with a particular problem or issue.
-
D.
concernsTitle
Indicates that something is about or relates specifically to a particular title (such as a name, designation, or formal heading).
-
E.
concernsEntity
Indicates that something (such as an action, issue, or piece of information) is about or relevant to a particular 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef3cb8c8190a10815b675b341c1 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.