Triple
T14386997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CJD (Pennsylvania) |
E356747
|
entity |
| Predicate | subjectOfProceedings |
P83607
|
FINISHED |
| Object | Pennsylvania state judges |
—
|
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: Pennsylvania state judges | Statement: [CJD (Pennsylvania), subjectOfProceedings, Pennsylvania state judges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectOfProceedings Context triple: [CJD (Pennsylvania), subjectOfProceedings, Pennsylvania state judges]
-
A.
typeOfProceedings
Indicates the specific category or kind of legal or formal process under which an action or case is being conducted.
-
B.
subjectOfProsecution
Indicates that an entity is the target or focus of a legal prosecution or criminal proceeding initiated by an authority.
-
C.
legalDisputeSubject
chosen
Indicates that a legal dispute concerns, involves, or is specifically about the referenced subject or matter.
-
D.
subjectOfLaw
Indicates that a law, legal document, or legal provision is about, concerns, or applies to the referenced subject.
-
E.
legalProcedureUsed
Indicates that a particular legal procedure or process is applied or employed in relation to a case, action, or legal matter.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90283b9c8190b50d30ad58bfe085 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.