Triple
T23133189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archduchess Maria Josepha of Austria |
E577233
|
entity |
| Predicate | reignAsElectressConsortOfSaxonyStart |
P151042
|
FINISHED |
| Object | 1733 |
—
|
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: 1733 | Statement: [Archduchess Maria Josepha of Austria, reignAsElectressConsortOfSaxonyStart, 1733]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsElectressConsortOfSaxonyStart Context triple: [Archduchess Maria Josepha of Austria, reignAsElectressConsortOfSaxonyStart, 1733]
-
A.
reignAsQueenConsortOfBohemiaEnd
Indicates the time or event at which an individual’s tenure as queen consort of Bohemia comes to an end.
-
B.
reignAsGrandDuchessConsortFrom
Indicates the time period during which a person held the role of grand duchess consort.
-
C.
reignAsDuchessFrom
Indicates that a person holds and exercises the title and authority of a duchess over a specified domain starting from a given point in time.
-
D.
reignAsDukeOfSaxonyStart
Indicates the time at which an individual begins their tenure ruling in the position of Duke of Saxony.
-
E.
reignAsGermanEmpressStart
Indicates the point in time when an individual begins their tenure as German Empress.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e89cce881908727a94dbc00e031 |
completed | April 29, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4 p.m.