Triple
T24779025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth of Bosnia |
E619940
|
entity |
| Predicate | endTime (regency for Mary of Hungary) |
P73393
|
FINISHED |
| Object | 1386 |
—
|
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: 1386 | Statement: [Elizabeth of Bosnia, endTime (regency for Mary of Hungary), 1386]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (regency for Mary of Hungary) Context triple: [Elizabeth of Bosnia, endTime (regency for Mary of Hungary), 1386]
-
A.
endOfReign
Indicates the point in time or event at which a ruler’s or leader’s period of authority or reign concludes.
-
B.
endTime (as Duchess of Brittany)
Indicates the time at which the person’s tenure or role as Duchess of Brittany came to an end.
-
C.
endTimeAsDuchessOfCourland
Indicates the point in time at which an individual’s tenure or role as Duchess of Courland comes to an end.
-
D.
endTime (Grand Princess of Tuscany)
Indicates the point in time at which the tenure or role of the Grand Princess of Tuscany comes to an end.
-
E.
regencyEnded
chosen
Indicates that a period during which one party governed on behalf of another (a regency) has come 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_69e2fabdbe8c8190adbb9434b8636cad |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:42 a.m.