Triple
T27174442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gedenkstätte Notaufnahmelager Marienfelde |
E683003
|
entity |
| Predicate | numberOfPeopleProcessed |
P193793
|
FINISHED |
| Object | über 1,35 Millionen |
—
|
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: über 1,35 Millionen | Statement: [Gedenkstätte Notaufnahmelager Marienfelde, numberOfPeopleProcessed, über 1,35 Millionen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPeopleProcessed Context triple: [Gedenkstätte Notaufnahmelager Marienfelde, numberOfPeopleProcessed, über 1,35 Millionen]
-
A.
countingProcess
Indicates a process in which discrete events or items are incrementally tallied or accumulated over time.
-
B.
numberOfImmigrantsProcessed
Indicates the total count of immigrants that have been processed in a given context or system.
-
C.
hasApproximateNumberOfPeople
Indicates that an entity is associated with an estimated or approximate count of people, rather than an exact number.
-
D.
hasApproximateCountInHumans
chosen
Indicates that an entity is associated with an estimated or approximate numerical count specifically in humans.
-
E.
numberOfExecutedAdults
Indicates the count of adult individuals who have been executed in a given context or event.
- 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_69fea1f5d8c481908dc3351dc9ecef7f |
completed | May 9, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69fea06b6fe0819095bf4c1bc9809927 |
completed | May 9, 2026, 2:48 a.m. |
Created at: April 27, 2026, 9:25 a.m.