Triple
T29143879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zwodau subcamp |
E738713
|
entity |
| Predicate | prisonerLaborType |
P64045
|
FINISHED |
| Object | industrial labor |
—
|
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: industrial labor | Statement: [Zwodau subcamp, prisonerLaborType, industrial labor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prisonerLaborType Context triple: [Zwodau subcamp, prisonerLaborType, industrial labor]
-
A.
hasInmateLabor
chosen
Indicates that an entity utilizes or is associated with labor performed by incarcerated individuals.
-
B.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
C.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
D.
labourOf
Indicates that one entity is the work, effort, or labor performed or contributed by another entity.
-
E.
laborProvision
Indicates the provision or supply of labor or workforce from one party to another for work or services.
- 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f66271398c8190a97d83208e79a70c |
completed | May 2, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:38 a.m.