Triple
T7956855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Università degli Studi di Padova |
E184759
|
entity |
| Predicate | RectorTermStart |
P80012
|
FINISHED |
| Object | 2021 |
—
|
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: 2021 | Statement: [Università degli Studi di Padova, RectorTermStart, 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RectorTermStart Context triple: [Università degli Studi di Padova, RectorTermStart, 2021]
-
A.
startTime (Rector of Masaryk University)
Indicates the point in time at which a person began serving as Rector of Masaryk University.
-
B.
rectorOrPresident
Indicates that one entity serves as the rector or president (i.e., the chief executive or head) of another entity, typically an institution such as a university.
-
C.
firstTermStart
Indicates that an entity marks the starting point or initial term in an ordered sequence, period, or agreement.
-
D.
officeStartForMinisterOfEducation
Indicates the date or point in time when a person begins serving as the Minister of Education.
-
E.
startOfLiturgicalYear
Indicates that one time or event marks the beginning of a liturgical (religious) year in a given tradition.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b7d36c081908cc8760a0dbf6001 |
completed | March 31, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:11 p.m.