Triple
T18410819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XVI Legislature of Italy |
E441751
|
entity |
| Predicate | reasonForGovernmentChange |
P6009
|
FINISHED |
| Object | resignation of Silvio Berlusconi in 2011 |
—
|
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: resignation of Silvio Berlusconi in 2011 | Statement: [XVI Legislature of Italy, reasonForGovernmentChange, resignation of Silvio Berlusconi in 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForGovernmentChange Context triple: [XVI Legislature of Italy, reasonForGovernmentChange, resignation of Silvio Berlusconi in 2011]
-
A.
reasonForChange
chosen
Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
-
B.
politicalShift
Indicates a change in an entity’s political position, alignment, or governing structure over time.
-
C.
byElectionReason
Indicates the reason or cause for which a by-election is being held.
-
D.
electionChange
Indicates a change in the outcome, status, or key parameters of an election between two points in time.
-
E.
goalOfReforms
Indicates that a reform or set of reforms is undertaken with the aim or intended objective of achieving a particular outcome.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5195df3288190be61f4053476c735 |
completed | April 19, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 10:47 a.m.