Triple
T13433385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Władysław II Jagiełło |
E320167
|
entity |
| Predicate | reignEndAsGrandDukeOfLithuania |
P81964
|
FINISHED |
| Object | 1401 |
—
|
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: 1401 | Statement: [Władysław II Jagiełło, reignEndAsGrandDukeOfLithuania, 1401]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignEndAsGrandDukeOfLithuania Context triple: [Władysław II Jagiełło, reignEndAsGrandDukeOfLithuania, 1401]
-
A.
reignAsGrandDukeOfLithuaniaEnd
chosen
Indicates the time or event at which an individual's tenure as Grand Duke of Lithuania comes to an end.
-
B.
reignAsGrandDukeOfLithuaniaStart
Indicates the time at which an individual begins their tenure as Grand Duke of Lithuania.
-
C.
successorAsGrandDukeOfLithuania
Indicates that one entity became the next Grand Duke of Lithuania following another entity in succession.
-
D.
reignAsGrandDukeOfTuscanyEnd
Indicates the time or event at which an individual’s tenure as Grand Duke of Tuscany comes to an end.
-
E.
predecessorAsGrandDukeOfLithuania
Indicates that one entity previously held the title of Grand Duke of Lithuania before another entity, making the first the predecessor of the second in that role.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.