Triple
T2093793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German National Academy of Sciences Leopoldina |
E32732
|
entity |
| Predicate | recognizedAsNationalAcademySince |
P8111
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [German National Academy of Sciences Leopoldina, recognizedAsNationalAcademySince, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedAsNationalAcademySince Context triple: [German National Academy of Sciences Leopoldina, recognizedAsNationalAcademySince, 2008]
-
A.
awardingBodyFoundedIn
Indicates the year or date when the awarding body (the organization that grants awards) was established or founded.
-
B.
awardingBodyFounded
Indicates that an organization or entity established or created the awarding body in question.
-
C.
hasNobelLaureatesAffiliated
Indicates that one entity has Nobel Prize laureates formally associated or connected with it (e.g., as members, staff, or alumni).
-
D.
hasHonoraryDegreeFrom
Indicates that an individual has been awarded an honorary degree by a particular institution.
-
E.
yearHonored
chosen
Indicates the specific year in which an entity received an honor, award, or formal recognition.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba98c32081908a243bc7088a1510 |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b6274081909df36cd7a7c6a675 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.