Triple
T15498778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States military courts of criminal appeals |
E378892
|
entity |
| Predicate | reviewTriggeredBy |
P67205
|
FINISHED |
| Object | automatic review in qualifying cases |
—
|
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: automatic review in qualifying cases | Statement: [United States military courts of criminal appeals, reviewTriggeredBy, automatic review in qualifying cases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reviewTriggeredBy Context triple: [United States military courts of criminal appeals, reviewTriggeredBy, automatic review in qualifying cases]
-
A.
reviewedBy
Indicates that an item, work, or action has been examined and evaluated by a specific agent or reviewer.
-
B.
reviewedAs
Indicates that one entity has evaluated, critiqued, or assessed another entity in a particular capacity, role, or context.
-
C.
reviewType
chosen
Indicates the specific category or kind of review associated with an item, action, or relationship.
-
D.
reviewFrom
Indicates that a review is authored or provided by a particular source or entity.
-
E.
reviewedFor
Indicates that one entity has examined or evaluated another entity for a specific purpose, standard, or context.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fb0aee081909db1c54349ec8492 |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:53 a.m.