Triple
T11646031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegfried Unseld Prize |
E276778
|
entity |
| Predicate | languageOfAwardingCountry |
P53482
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Siegfried Unseld Prize, languageOfAwardingCountry, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfAwardingCountry Context triple: [Siegfried Unseld Prize, languageOfAwardingCountry, German]
-
A.
languageOfAwardingInstitution
Indicates the language in which the awarding institution formally grants or documents the award.
-
B.
countryOfAwarding
Indicates the country that officially granted or conferred a particular award, honor, or recognition.
-
C.
languageOfAwardAdministration
Indicates the language used to administer, manage, or conduct the award process.
-
D.
taughtAsForeignLanguageIn
Indicates that a language is taught as a foreign (non-native) language within a particular educational context or institution.
-
E.
languageOfAwardingBodies
chosen
Indicates the language or languages used by the organizations or institutions that grant the awards.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cc8bfc8190a063cc37de9596a9 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.