Triple
T24926584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo von Caprivi |
E618873
|
entity |
| Predicate | termStartAsMinisterPresidentOfPrussia |
P157796
|
FINISHED |
| Object | 1890-03-20 |
—
|
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: 1890-03-20 | Statement: [Leo von Caprivi, termStartAsMinisterPresidentOfPrussia, 1890-03-20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsMinisterPresidentOfPrussia Context triple: [Leo von Caprivi, termStartAsMinisterPresidentOfPrussia, 1890-03-20]
-
A.
startOfReignAsDukeOfPrussia
Indicates the point in time when an individual begins their rule holding the title of Duke of Prussia.
-
B.
startOfKingshipInPrussia
Indicates the point in time when an entity begins its reign or kingship in Prussia.
-
C.
reignAsElectorOfBrandenburgStart
Indicates the time at which an individual begins their tenure reigning as the Elector of Brandenburg.
-
D.
startTime (President of Germany)
Indicates the point in time at which a person’s term as President of Germany begins.
-
E.
reignAsKingOfGermanyStart
Indicates the time point or event at which an individual begins their reign as King of Germany.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f44a3adb7c8190941572f718b3b93c |
completed | May 1, 2026, 6:37 a.m. |
Created at: April 18, 2026, 5:29 a.m.