Triple
T37611571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Regenlied" Op. 59 No. 3 |
E935796
|
entity |
| Predicate | firstLineLanguage |
P206005
|
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: ["Regenlied" Op. 59 No. 3, firstLineLanguage, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLineLanguage Context triple: ["Regenlied" Op. 59 No. 3, firstLineLanguage, German]
-
A.
firstLineTranslation
Indicates that one text is a translation of the first line of another text.
-
B.
firstLines
Indicates that one text, segment, or element constitutes the initial lines or opening portion of another.
-
C.
firstLineAfrikaans
Indicates that the specified text is the first line of a piece of content when written in Afrikaans.
-
D.
firstLineOpened
Indicates that the first line of something (e.g., a document, file, or text block) has been opened or accessed.
-
E.
firstLineForm
Indicates that one entity is the initial or primary line-based representation or form of another entity.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.