Triple
T23589971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matteo Renzi |
E582448
|
entity |
| Predicate | endTime (Mayor of Florence) |
P152823
|
FINISHED |
| Object | 2014-02-21 |
—
|
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: 2014-02-21 | Statement: [Matteo Renzi, endTime (Mayor of Florence), 2014-02-21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (Mayor of Florence) Context triple: [Matteo Renzi, endTime (Mayor of Florence), 2014-02-21]
-
A.
endTime (Mayor of Madrid)
Indicates the point in time at which a person’s tenure as Mayor of Madrid concludes.
-
B.
endTime (Governor of Siena)
Indicates the point in time at which a person’s tenure as Governor of Siena concludes.
-
C.
endTime (Mayor of Taipei)
Indicates the point in time at which a person’s tenure as Mayor of Taipei concludes.
-
D.
endTime (Council of Vienne)
Indicates the point in time at which the Council of Vienne concluded or formally ended.
-
E.
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.
- 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b03484e4819093d5c14c891f7744 |
completed | April 29, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:41 p.m.