Triple
T8272571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp V |
E193463
|
entity |
| Predicate | detaineeCategory |
P32689
|
FINISHED |
| Object | high-value detainees |
—
|
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: high-value detainees | Statement: [Camp V, detaineeCategory, high-value detainees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detaineeCategory Context triple: [Camp V, detaineeCategory, high-value detainees]
-
A.
detentionType
Indicates the specific category or form of detention applied to an entity within a custodial or restrictive context.
-
B.
detaineeStatus
Indicates the current legal or custodial condition of a person being detained, such as whether they are in custody, released, or under a specific detention regime.
-
C.
detentionCondition
Indicates the specific terms, circumstances, or requirements under which a person is held in detention.
-
D.
hasPrisonerCategory
chosen
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
E.
placeOfDetention
Indicates the location or facility where an entity is or was held in detention.
- 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798878988190a5f63c854aa070f2 |
completed | March 31, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69cb70a4525481909399d313a6247ace |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:50 p.m.