Triple
T23589975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matteo Renzi |
E582448
|
entity |
| Predicate | endTime (PD secretary, first term) |
P40396
|
FINISHED |
| Object | 2016-02-19 |
—
|
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: 2016-02-19 | Statement: [Matteo Renzi, endTime (PD secretary, first term), 2016-02-19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (PD secretary, first term) Context triple: [Matteo Renzi, endTime (PD secretary, first term), 2016-02-19]
-
A.
endTime (KMT chairman, first term)
Indicates the point in time at which the KMT chairman’s first term in office concludes.
-
B.
endTime (President of the Chamber of Deputies)
Indicates the date and time at which a person’s tenure as President of the Chamber of Deputies concludes.
-
C.
endTime (first House term)
Indicates the time at which the first House term concludes.
-
D.
endTimeOfPositionFirstSecretary
chosen
Indicates the date and time when an entity’s tenure or role as First Secretary comes to an end.
-
E.
endTime (KMT chairman, second term)
Indicates the point in time at which the KMT chairman’s second term in office concludes.
- 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_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. |
Created at: April 17, 2026, 6:41 p.m.