Triple
T27174441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gedenkstätte Notaufnahmelager Marienfelde |
E683003
|
entity |
| Predicate | periodOfUseAsRefugeeCamp |
P86986
|
FINISHED |
| Object | 1953–1990 |
—
|
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: 1953–1990 | Statement: [Gedenkstätte Notaufnahmelager Marienfelde, periodOfUseAsRefugeeCamp, 1953–1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfUseAsRefugeeCamp Context triple: [Gedenkstätte Notaufnahmelager Marienfelde, periodOfUseAsRefugeeCamp, 1953–1990]
-
A.
locatedInRefugeeCamp
Indicates that an entity is situated within the boundaries of a refugee camp.
-
B.
historicalPeriodOfRefugeeCenterOperation
chosen
Indicates the historical time span during which a given refugee center was in operation.
-
C.
hasRefugeeCamp
Indicates that a location or entity hosts, contains, or is the site of a refugee camp.
-
D.
nearRefugeeCamp
Indicates that one entity is located in close physical proximity to a refugee camp.
-
E.
refugeeCampEstablishedIn
Indicates that a refugee camp was created or set up in a particular location or jurisdiction.
- 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:25 a.m.