Triple
T21045004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisiana district courts |
E518424
|
entity |
| Predicate | canIssueWrits |
P142599
|
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, canIssueWrits, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canIssueWrits Context triple: [Louisiana district courts, canIssueWrits, true]
-
A.
courtIssue
Indicates that a court formally issues or hands down a legal document, order, ruling, or decision to the relevant parties.
-
B.
hasLegalIssue
Indicates that an entity is involved in, associated with, or subject to a legal problem, dispute, or proceeding.
-
C.
canMakeRulesOfCourt
Indicates that an entity has the authority to establish or prescribe rules governing court procedures or operations.
-
D.
canBeSuedFor
Indicates that one party is legally liable or potentially subject to legal action by another party for a specified cause or wrongdoing.
-
E.
canBeSuedAs
Indicates that one entity has legal standing or capacity to be the target of a lawsuit initiated by another entity.
- 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.