Triple
T27379791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Stephen of Lorraine |
E691185
|
entity |
| Predicate | endTime (Grand Duke of Tuscany) |
P178279
|
FINISHED |
| Object | 1765 |
—
|
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: 1765 | Statement: [Francis Stephen of Lorraine, endTime (Grand Duke of Tuscany), 1765]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (Grand Duke of Tuscany) Context triple: [Francis Stephen of Lorraine, endTime (Grand Duke of Tuscany), 1765]
-
A.
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.
-
B.
endTime (Governor of Siena)
Indicates the point in time at which a person’s tenure as Governor of Siena concludes.
-
C.
endTime (Archbishop of Mechelen-Brussels)
Indicates the point in time at which a person’s tenure as Archbishop of Mechelen-Brussels concludes.
-
D.
endTime (Mayor of Florence)
Indicates the point in time at which a person’s tenure as Mayor of Florence comes to an end.
-
E.
endTime (Archbishop of North and South America)
Indicates the point in time at which the tenure or role of the Archbishop of North and South America concludes.
- 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_69ef52022538819081f873d0c84a6dd6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70e854b9c8190a3416e2189e17742 |
completed | May 3, 2026, 8:59 a.m. |
Created at: April 27, 2026, 12:22 p.m.