Triple
T10177894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leopoldina |
E235900
|
entity |
| Predicate | recognizedAsNationalAcademyOfSciencesSince |
P92541
|
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: [Leopoldina, recognizedAsNationalAcademyOfSciencesSince, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedAsNationalAcademyOfSciencesSince Context triple: [Leopoldina, recognizedAsNationalAcademyOfSciencesSince, 2008]
-
A.
isNationalAcademyOf
Indicates that an organization is the official national academy representing a country in a particular field or set of disciplines.
-
B.
electedFellowOf
Indicates that an individual has been formally chosen and granted the status of fellow by a particular organization or institution.
-
C.
hasNobelLaureatesAffiliated
Indicates that one entity has Nobel Prize laureates formally associated or connected with it (e.g., as members, staff, or alumni).
-
D.
eraOfScience
Indicates that one entity is a historical period characterized by particular developments or features in science associated with the other entity.
-
E.
namedAfterAwardLaureateOf
Indicates that one entity is named after a person who is a laureate (recipient) of a particular award.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd4e3188190aa5d9ee95595f4a7 |
completed | April 2, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69cd7c79f21c8190a7f31b2eab80b8ba |
completed | April 1, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69cd7edc6cf081909d95859d880a4059 |
completed | April 1, 2026, 8:23 p.m. |
Created at: March 30, 2026, 9:11 p.m.