Triple
T21045000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisiana district courts |
E518424
|
entity |
| Predicate | handlesPretrialMatters |
P142595
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Louisiana district courts, handlesPretrialMatters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handlesPretrialMatters Context triple: [Louisiana district courts, handlesPretrialMatters, true]
-
A.
handlesCivilMatter
Indicates that an entity is responsible for dealing with or adjudicating civil (non-criminal) legal matters involving disputes between parties.
-
B.
priorCourt
Indicates that one court or legal proceeding occurred before another in time or procedural sequence.
-
C.
precedenceInCourt
Indicates that one legal case, decision, or action is considered to have higher authority or priority over another within a court’s decision-making process.
-
D.
legalPrecedentInvolved
Indicates that a particular legal precedent (prior court decision or ruling) is relevant to, cited in, or forms the basis for the current legal matter or action.
-
E.
trialHeld
Indicates that a formal legal proceeding or court trial has taken place regarding a particular case or dispute.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf2fc4881909b9e3400864e6b82 |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:30 p.m.