Triple
T31117413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reichsstädte |
E793127
|
entity |
| Predicate | wereMostlyMediatizedIn |
P156328
|
FINISHED |
| Object | 1803 |
—
|
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: 1803 | Statement: [Reichsstädte, wereMostlyMediatizedIn, 1803]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wereMostlyMediatizedIn Context triple: [Reichsstädte, wereMostlyMediatizedIn, 1803]
-
A.
mediatisedTo
chosen
Indicates that one entity has been placed under the indirect rule, protection, or authority of another, typically losing direct sovereignty while remaining formally distinct.
-
B.
couldBeMediatizedBy
Indicates that one entity has the potential to be transformed, represented, or conveyed through media by another entity.
-
C.
mediatisedBy
Indicates that an entity’s communication or interaction is conveyed, shaped, or influenced through a particular medium or media channel rather than occurring directly.
-
D.
partiallyMediatizedTo
Indicates that one entity is only partly transformed, adapted, or represented through a medium or media process in relation to another entity.
-
E.
commonlyUsedInMediaOf
Indicates that something is frequently employed or featured within a particular medium or type of media.
- 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_69f224d0a7688190af3fe3e6e26d01ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:04 p.m.