Triple
T3449367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magisterial District Courts of Pennsylvania |
E72755
|
entity |
| Predicate | judgesElected |
P48882
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Magisterial District Courts of Pennsylvania, judgesElected, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: judgesElected Context triple: [Magisterial District Courts of Pennsylvania, judgesElected, yes]
-
A.
judgesMayBe
Indicates that certain individuals can serve in the role of judges under specified conditions or classifications.
-
B.
hasJudge
Indicates that a legal case, proceeding, or decision is presided over or decided by a particular judge.
-
C.
firstJudgesSwornIn
Indicates that the initial group of judges in a given judicial body or context has formally taken the oath of office for the first time.
-
D.
numberOfJudges
Indicates the total count of judges associated with a particular case, event, or entity.
-
E.
judgesTerm
Indicates that one entity formally evaluates or makes a judgment about a specific term or expression.
- F. None of above. chosen
Provenance (4 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba71f4a4819089d08b871cc9b16f |
completed | March 8, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69adae0255b48190a9069f7871c7a012 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:16 p.m.