Triple
T3417595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Court of Criminal Appeals |
E72046
|
entity |
| Predicate | canSetAside |
P49338
|
FINISHED |
| Object | findings |
—
|
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: findings | Statement: [Army Court of Criminal Appeals, canSetAside, findings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canSetAside Context triple: [Army Court of Criminal Appeals, canSetAside, findings]
-
A.
canSet
Indicates that one entity has the ability or permission to assign, configure, or change a property, value, or state of another entity.
-
B.
canHold
Indicates that one entity has the capacity or ability to contain, support, or carry another entity.
-
C.
canBeShared
Indicates that something is capable of being distributed or accessed by multiple parties.
-
D.
canOwn
Indicates that one entity is permitted or legally able to possess or hold ownership rights over another entity.
-
E.
canBeSeizedBy
Indicates that one entity is legally or physically able to be taken control of, captured, or confiscated 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb92c20fc81909b5debced20ec083 |
completed | March 8, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69adadfcbc38819080852c18240451c5 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb23d23088190aeafe1379eae2eaa |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:15 p.m.