Triple
T27127656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petrarca-Preis |
E681474
|
entity |
| Predicate | hasTranslationComponent |
P188768
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Petrarca-Preis, hasTranslationComponent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTranslationComponent Context triple: [Petrarca-Preis, hasTranslationComponent, true]
-
A.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
B.
hasTranslationBase
Indicates that one entity serves as the original source or base text from which the other entity is translated.
-
C.
hasTranslationPlatform
Indicates that one entity provides or is associated with a platform used to perform or manage translations for another entity.
-
D.
hasTranslated
Indicates that one entity has rendered the content of another entity from one language into a different language.
-
E.
hasPartialTranslations
Indicates that an entity has been translated only in part, linking it to one or more incomplete or non-full translations of its content.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbad1b3ba08190ad69e21461333f2e |
completed | May 6, 2026, 9:05 p.m. |
Created at: April 27, 2026, 9:02 a.m.