Triple
T27135475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meyenburg Prize |
E681672
|
entity |
| Predicate | hasLaureatesFrom |
P117776
|
FINISHED |
| Object | Germany |
—
|
NE NERFINISHED |
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: Germany | Statement: [Meyenburg Prize, hasLaureatesFrom, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaureatesFrom Context triple: [Meyenburg Prize, hasLaureatesFrom, Germany]
-
A.
hasLaureate
Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
-
B.
NobelPrizeCoLaureate
Indicates that two or more individuals share the same Nobel Prize as co-recipients for a particular award and year.
-
C.
notableLaureatesInclude
Indicates that a group, institution, or award has among its distinguished recipients or members certain specified laureates.
-
D.
hasLaureateCitizenship
chosen
Indicates that a laureate holds or has held citizenship in a specified country or political entity.
-
E.
hasLaureateField
Indicates that an entity recognized as a laureate is associated with a particular field or discipline in which the honor was awarded.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 27, 2026, 9:06 a.m.