Triple
T21348855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Augusta of Saxe-Weimar-Eisenach |
E526418
|
entity |
| Predicate | reignAsGermanEmpressTo |
P127299
|
FINISHED |
| Object | 1888-03-09 |
—
|
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: 1888-03-09 | Statement: [Princess Augusta of Saxe-Weimar-Eisenach, reignAsGermanEmpressTo, 1888-03-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsGermanEmpressTo Context triple: [Princess Augusta of Saxe-Weimar-Eisenach, reignAsGermanEmpressTo, 1888-03-09]
-
A.
reignAsQueenConsortOfGermanyEnd
Indicates the time or event at which an individual’s tenure as queen consort of Germany comes to an end.
-
B.
reignAsEmpress
chosen
Indicates that a person holds and exercises the supreme imperial authority in the role of empress over a realm or empire.
-
C.
reignStartAsGermanEmperor
Indicates the time at which an individual began their rule in the role of German Emperor.
-
D.
reignAsKingOfGermanyEnd
Indicates the time or event at which an individual’s tenure as king of Germany comes to an end.
-
E.
reignAsGrandDuchessConsortTo
Indicates that one entity holds the position of grand duchess consort in relation to another entity, who is the reigning grand duke.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5baab4e081908916a289c607cf3a |
completed | April 26, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:02 p.m.