Triple
T1440053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee Supreme Court |
E31048
|
entity |
| Predicate | judgeSelectionMethod |
P13934
|
FINISHED |
| Object | merit selection with retention elections |
—
|
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: merit selection with retention elections | Statement: [Tennessee Supreme Court, judgeSelectionMethod, merit selection with retention elections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: judgeSelectionMethod Context triple: [Tennessee Supreme Court, judgeSelectionMethod, merit selection with retention elections]
-
A.
judgeAppointmentBy
chosen
Indicates that one entity is appointed to the role of judging or evaluating another entity by a specific authority or process.
-
B.
judgeFrom
Indicates that one entity forms an opinion, evaluation, or conclusion about something based on another specified source, basis, or perspective.
-
C.
judgesMayBe
Indicates that certain individuals can serve in the role of judges under specified conditions or classifications.
-
D.
judgeTerm
Indicates that one entity evaluates, assesses, or forms an opinion about another entity or concept.
-
E.
judge
Indicates that one entity evaluates, forms an opinion about, or makes a decision regarding 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.