Triple
T28720343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakhdar Boumediene |
E730075
|
entity |
| Predicate | detentionCharacterization |
P50528
|
FINISHED |
| Object | indefinite detention without trial |
—
|
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: indefinite detention without trial | Statement: [Lakhdar Boumediene, detentionCharacterization, indefinite detention without trial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detentionCharacterization Context triple: [Lakhdar Boumediene, detentionCharacterization, indefinite detention without trial]
-
A.
detentionType
chosen
Indicates the specific category or form of detention applied to an entity within a custodial or restrictive context.
-
B.
detentionCondition
Indicates the specific terms, circumstances, or requirements under which a person is held in detention.
-
C.
detainedAs
Indicates that one entity is held in custody in the capacity or role specified by another entity (e.g., as a suspect, witness, or specific status).
-
D.
coDetainee
Indicates that two or more individuals are detained or imprisoned together in the same facility or under the same custodial authority.
-
E.
detentionOutcome
Indicates the result or consequence of a detention, such as whether it was continued, ended, or changed in status.
- 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_69f043e91fe48190b73bcd8e08d433e0 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 5:53 a.m.