Triple
T6679408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maximilian I, Elector of Bavaria |
E151938
|
entity |
| Predicate | reignAsDukeOfBavariaFrom |
P71707
|
FINISHED |
| Object | 1597 |
—
|
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: 1597 | Statement: [Maximilian I, Elector of Bavaria, reignAsDukeOfBavariaFrom, 1597]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsDukeOfBavariaFrom Context triple: [Maximilian I, Elector of Bavaria, reignAsDukeOfBavariaFrom, 1597]
-
A.
reignStartAsDukeOfAustria
Indicates the date or event marking when an individual began their reign holding the title of Duke of Austria.
-
B.
reignAsKingOfGermanyStart
Indicates the time point or event at which an individual begins their reign as King of Germany.
-
C.
reignAsKingOfGermanyEnd
Indicates the time or event at which an individual’s tenure as king of Germany comes to an end.
-
D.
reignStartAsEmperorOfAustria
Indicates the date or point in time when an individual began their reign holding the title of Emperor of Austria.
-
E.
reignAsGrandDukeOfTuscanyStart
Indicates the time at which an individual begins their tenure as Grand Duke of Tuscany.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6c0a90a088190978061cb05dbe268 |
completed | March 27, 2026, 5:38 p.m. |
Created at: March 27, 2026, 2:03 p.m.