Triple
T29027095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aus meinen Tränen sprießen |
E737621
|
entity |
| Predicate | textIn |
P39049
|
FINISHED |
| Object | Buch der Lieder |
—
|
NE NERFINISHED |
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: Buch der Lieder | Statement: [Aus meinen Tränen sprießen, textIn, Buch der Lieder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textIn Context triple: [Aus meinen Tränen sprießen, textIn, Buch der Lieder]
-
A.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
-
B.
textType
Indicates the classification of a text according to its type, format, or genre.
-
C.
textScript
Indicates the writing system or script in which a given piece of text is expressed.
-
D.
textContent
chosen
Indicates that one entity is the textual content or written material contained within another entity.
-
E.
textMode
Indicates that something operates, is displayed, or is processed in a mode where information is handled primarily as text rather than as graphics or other media.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6600b2ea0819080d54e0400bd3364 |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:53 a.m.