Triple
T11895583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kozelsk camp |
E283027
|
entity |
| Predicate | prisonerType |
P102118
|
FINISHED |
| Object | Polish Army officers |
—
|
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: Polish Army officers | Statement: [Kozelsk camp, prisonerType, Polish Army officers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prisonerType Context triple: [Kozelsk camp, prisonerType, Polish Army officers]
-
A.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
B.
prisonerSide
Indicates that one party in a conflict, case, or situation is aligned with or belongs to the side of the prisoner.
-
C.
prisonRole
Indicates a role or function that an entity holds within the context or system of a prison.
-
D.
prisonerOf
Indicates that one entity is held in custody or confinement by another entity, typically under legal or authoritative control.
-
E.
detentionType
Indicates the specific category or form of detention applied to an entity within a custodial or restrictive context.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1286808190949719f54ff49a01 |
completed | April 10, 2026, 11:20 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.