Triple
T7028782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Dresden (1745) |
E163218
|
entity |
| Predicate | effectOnAustria |
P74549
|
FINISHED |
| Object | formal renunciation of most of Silesia |
—
|
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: formal renunciation of most of Silesia | Statement: [Treaty of Dresden (1745), effectOnAustria, formal renunciation of most of Silesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnAustria Context triple: [Treaty of Dresden (1745), effectOnAustria, formal renunciation of most of Silesia]
-
A.
mainOpponentOfAustria
Indicates that one entity is the primary rival or adversary of Austria in a given context (such as politics, war, or competition).
-
B.
strengthRussoAustrian
Indicates the relative military or political strength between Russian and Austrian forces or interests in a given context.
-
C.
RussoAustrianObjective
Indicates a shared objective or goal jointly pursued by Russian and Austrian parties or forces.
-
D.
effectOnFrance
Indicates the impact, influence, or consequences that something has on France.
-
E.
involvedUnitAustriaHungary
Indicates that the unit or force specified was involved on behalf of Austria-Hungary in the referenced event or conflict.
- F. None of above. chosen
Provenance (4 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:35 p.m.