Triple
T29035082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eichendorff-Lieder |
E737835
|
entity |
| Predicate | associatedWithPoetNationality |
P115211
|
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: [Eichendorff-Lieder, associatedWithPoetNationality, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPoetNationality Context triple: [Eichendorff-Lieder, associatedWithPoetNationality, German]
-
A.
mainPoetNationality
chosen
Indicates the nationality associated with the primary or main poet in a given context.
-
B.
poetAssociated
Indicates a relationship where a poet is connected or linked to another entity, such as a work, place, movement, or person, through relevance, collaboration, influence, or affiliation.
-
C.
associatedComposerNationality
Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
-
D.
associatedWithPoem
Indicates a relationship in which an entity is connected or linked to a particular poem, such as by authorship, subject, reference, or contextual association.
-
E.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a03008316dc8190a9f6faf48d25a4f8 |
completed | May 12, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_6a030023e66881909ea79f1365ab538a |
completed | May 12, 2026, 10:25 a.m. |
Created at: April 28, 2026, 9:57 a.m.