Triple
T32742731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wo die schönen Trompeten blasen |
E837259
|
entity |
| Predicate | originalTextForm |
P3563
|
FINISHED |
| Object | German folk poem |
—
|
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 folk poem | Statement: [Wo die schönen Trompeten blasen, originalTextForm, German folk poem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTextForm Context triple: [Wo die schönen Trompeten blasen, originalTextForm, German folk poem]
-
A.
originalText
chosen
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
-
B.
originalTextVersion
Indicates that one text is the original version from which another text (such as a translation, revision, or adaptation) is derived.
-
C.
originalForm
Indicates that one entity is the earlier, source, or initial version from which another entity is derived or transformed.
-
D.
originallyForm
Indicates that an entity existed in a particular initial shape, structure, or configuration before undergoing change or transformation.
-
E.
originalTextStatus
Indicates the relationship between a text and its current state or condition relative to its original, unmodified form.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a01cb89ff448190b60ee3d148ce76fc |
completed | May 11, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_6a01ca7604b48190bb8643c17c3a8c85 |
completed | May 11, 2026, 12:24 p.m. |
Created at: May 1, 2026, 1:12 a.m.