Triple
T29852870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hymn V |
E758108
|
entity |
| Predicate | originalLanguageTitleOfCollection |
P13516
|
FINISHED |
| Object | Hymnen an die Nacht |
—
|
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: Hymnen an die Nacht | Statement: [Hymn V, originalLanguageTitleOfCollection, Hymnen an die Nacht]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLanguageTitleOfCollection Context triple: [Hymn V, originalLanguageTitleOfCollection, Hymnen an die Nacht]
-
A.
originalLanguageTitle
chosen
Indicates the title of a work as it appears in its original language of creation or publication.
-
B.
originalTitleLanguage
Indicates the language in which a work’s original title was written or expressed.
-
C.
collectiveTitleLanguage
Indicates the language in which a collective or series title is expressed.
-
D.
collectionOriginalLanguage
Indicates the language in which a collection was originally created or first expressed.
-
E.
originalLanguageText
Indicates that a text is expressed in its original, untranslated language.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ffebbd9bac8190b3dca4b7252a2278 |
completed | May 10, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69ffe93120a08190a44bb64d052eda78 |
completed | May 10, 2026, 2:10 a.m. |
Created at: April 29, 2026, 5:45 p.m.