Triple
T21269997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolyma labor camps |
E524228
|
entity |
| Predicate | prisonerCategories |
P32689
|
FINISHED |
| Object | political prisoners |
—
|
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: political prisoners | Statement: [Kolyma labor camps, prisonerCategories, political prisoners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prisonerCategories Context triple: [Kolyma labor camps, prisonerCategories, political prisoners]
-
A.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
B.
hasPrisonerCategory
chosen
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
C.
primaryPrisonerGroups
Indicates the main categories or groupings into which prisoners are primarily classified or organized.
-
D.
hasNotableCategoryOfPrisoners
Indicates that a prison is known for housing a specific, notable category or type of prisoners.
-
E.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73651c9208190a87d45acd6fafaaa |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4:01 p.m.