Triple
T12581300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravensbrück concentration camp |
E300341
|
entity |
| Predicate | hasPrisonerCategories |
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: [Ravensbrück concentration camp, hasPrisonerCategories, political prisoners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrisonerCategories Context triple: [Ravensbrück concentration camp, hasPrisonerCategories, political prisoners]
-
A.
hasPrisonerCategory
chosen
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
B.
hasNotableCategoryOfPrisoners
Indicates that a prison is known for housing a specific, notable category or type of prisoners.
-
C.
hasPrisoners
Indicates that an entity holds or contains one or more individuals who are imprisoned or detained.
-
D.
hasPrisonerCondition
Indicates that a specified prisoner is subject to a particular condition, status, or restriction within a custodial or correctional context.
-
E.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:02 p.m.