Triple
T21334449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Luisa of Austria |
E526002
|
entity |
| Predicate | reignAsDuchessOfParmaStart |
P143465
|
FINISHED |
| Object | 1814 |
—
|
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: 1814 | Statement: [Maria Luisa of Austria, reignAsDuchessOfParmaStart, 1814]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsDuchessOfParmaStart Context triple: [Maria Luisa of Austria, reignAsDuchessOfParmaStart, 1814]
-
A.
reignAsDuchessFrom
chosen
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.
-
B.
reignAsQueenConsortOfNaplesStart
Indicates the time at which an individual began serving as queen consort of Naples.
-
C.
reignAsDuchessTo
Indicates that one entity holds and exercises the title and authority of duchess in relation to another specified domain, territory, or noble house.
-
D.
reignAsGrandDukeOfTuscanyStart
Indicates the time at which an individual begins their tenure as Grand Duke of Tuscany.
-
E.
startTimeAsDuchessOfCourland
Indicates the point in time when an individual began holding the position or title of Duchess of Courland.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5ba7ce3c8190ba5ded980a9866f2 |
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, 4:43 p.m.