Triple
T29576269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liebst du um Schönheit |
E753450
|
entity |
| Predicate | originalTextCollection |
P175043
|
FINISHED |
| Object | Rückert’s poems |
—
|
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: Rückert’s poems | Statement: [Liebst du um Schönheit, originalTextCollection, Rückert’s poems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTextCollection Context triple: [Liebst du um Schönheit, originalTextCollection, Rückert’s poems]
-
A.
originalText
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
-
B.
originalTextOn
Indicates that a piece of original text is physically or logically located on a particular medium, surface, or object.
-
C.
originalTextVersion
Indicates that one text is the original version from which another text (such as a translation, revision, or adaptation) is derived.
-
D.
textCollectionSource
chosen
Indicates that a text collection originates from, or is derived from, a particular source.
-
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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
Created at: April 28, 2026, 6:03 p.m.