Triple
T2946028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konzentrationslager Ettersberg |
E79502
|
entity |
| Predicate | oneOfLargestOn |
P30645
|
FINISHED |
| Object | German soil |
—
|
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: German soil | Statement: [Konzentrationslager Ettersberg, oneOfLargestOn, German soil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfLargestOn Context triple: [Konzentrationslager Ettersberg, oneOfLargestOn, German soil]
-
A.
oneOfLargest
chosen
Indicates that the subject is among the largest members within a specified group or set, but not necessarily the single largest.
-
B.
createdOneOfLargest
Indicates that an entity is responsible for creating something that ranks among the largest within a given group or category.
-
C.
hasLargestPopulationOn
Indicates that the subject entity has the greatest population among a specified set of entities within the context or scope defined by the object.
-
D.
largestInCountry
Indicates that an entity is the largest of its kind within the specified country.
-
E.
hasLargestAreaOf
Indicates that the subject entity possesses the greatest area (size of surface or region) compared to the other entities in the specified set or context.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b3f86c819094526c2af611bfb5 |
completed | March 8, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69ad960a70ac8190816b5ae3e8631031 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:56 p.m.