Triple
T18314617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monowitz concentration camp |
E438721
|
entity |
| Predicate | transportedPrisonersFrom |
P13731
|
FINISHED |
| Object | various European countries |
—
|
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: various European countries | Statement: [Monowitz concentration camp, transportedPrisonersFrom, various European countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportedPrisonersFrom Context triple: [Monowitz concentration camp, transportedPrisonersFrom, various European countries]
-
A.
carriedPrisonersFrom
chosen
Indicates that an entity transported prisoners away from a specified origin location or source.
-
B.
receivesPrisonersFrom
Indicates that one entity accepts or takes custody of prisoners who are transferred from another entity.
-
C.
detainedPrisonersFrom
Indicates that an authority is holding prisoners who originate from or are associated with a specified place or source.
-
D.
wasTransportedTo
Indicates that an entity was moved or carried from one location to another, resulting in its arrival at the specified destination.
-
E.
estimatedNumberOfPeopleDeported
Indicates the approximate count of individuals who were forcibly removed or expelled from a place or country.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021cc70c8190bf43bd75e4af7381 |
completed | April 19, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.