Triple
T26050212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Anna of Tyrol |
E647950
|
entity |
| Predicate | reignAsQueenConsortOfBohemia |
P59873
|
FINISHED |
| Object | 1611-1617 |
—
|
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: 1611-1617 | Statement: [Empress Anna of Tyrol, reignAsQueenConsortOfBohemia, 1611-1617]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsQueenConsortOfBohemia Context triple: [Empress Anna of Tyrol, reignAsQueenConsortOfBohemia, 1611-1617]
-
A.
reignAsQueenConsortOfBohemiaEnd
Indicates the time or event at which an individual’s tenure as queen consort of Bohemia comes to an end.
-
B.
reignAsQueenConsortOfHungaryEnd
Indicates the time or event at which an individual’s tenure as queen consort of Hungary comes to an end.
-
C.
reignAsGrandDuchessConsortTo
Indicates that one entity holds the position of grand duchess consort in relation to another entity, who is the reigning grand duke.
-
D.
reignAsQueenConsortFrom
chosen
Indicates the time period during which a person held the role of queen consort, starting from a specified date or event.
-
E.
reignAsQueenConsortOfPolandEnd
Indicates the time or event at which an individual’s tenure as queen consort of Poland comes to an end.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 22, 2026, 9:10 a.m.