Triple
T21334450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Luisa of Austria |
E526002
|
entity |
| Predicate | reignAsDuchessOfParmaEnd |
P143765
|
FINISHED |
| Object | 1847 |
—
|
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: 1847 | Statement: [Maria Luisa of Austria, reignAsDuchessOfParmaEnd, 1847]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsDuchessOfParmaEnd Context triple: [Maria Luisa of Austria, reignAsDuchessOfParmaEnd, 1847]
-
A.
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.
-
B.
reignAsDuchessTo
Indicates that one entity holds and exercises the title and authority of duchess in relation to another specified domain, territory, or noble house.
-
C.
reignAsGrandDukeOfTuscanyEnd
Indicates the time or event at which an individual’s tenure as Grand Duke of Tuscany comes to an end.
-
D.
reignAsCountessConsortEnd
Indicates the date or point in time when an individual’s tenure as countess consort comes to an end.
-
E.
reignAsPrincessConsortEnd
Indicates the time or event at which an individual’s tenure as princess consort comes to an end.
- 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_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. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:43 p.m.