Triple
T6044835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giovanni Leone |
E134640
|
entity |
| Predicate | reasonForEndOfTerm (President of Italy) |
P6707
|
FINISHED |
| Object | resignation |
—
|
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 | Statement: [Giovanni Leone, reasonForEndOfTerm (President of Italy), resignation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForEndOfTerm (President of Italy) Context triple: [Giovanni Leone, reasonForEndOfTerm (President of Italy), resignation]
-
A.
endTimeAsGovernorOfBankOfItaly
Indicates the date and time at which an individual’s tenure as Governor of the Bank of Italy concludes.
-
B.
vicePresidentialTermEnd
Indicates the date or point in time when an individual's service in a specific vice presidential term comes to an end.
-
C.
causeOfEndOfPresidency
Indicates the event, action, or circumstance that directly led to the termination of a person’s presidency.
-
D.
reasonForEndOfTerm
chosen
Indicates the specific cause or circumstance that led to the termination or conclusion of a term, position, or period of service.
-
E.
reignAsKingOfItalyEnd
Indicates the point in time or event at which an individual's reign as King of Italy comes 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e41f98819089c205ba6138faf0 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:09 p.m.