Triple
T23871617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selig sind, die da Leid tragen |
E592742
|
entity |
| Predicate | openingWordsLanguage |
P123673
|
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: [Selig sind, die da Leid tragen, openingWordsLanguage, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingWordsLanguage Context triple: [Selig sind, die da Leid tragen, openingWordsLanguage, German]
-
A.
openingSequenceLanguage
chosen
Indicates the language used in the opening sequence of a work or media item.
-
B.
openingWordsLatin
Indicates that the opening words of a text, work, or document are expressed in Latin.
-
C.
translationOfOpeningWords
Indicates that one text is a translation of the initial words or opening phrase of another text.
-
D.
openingWordsHebrew
Indicates that the specified words are the opening (initial) words of a text or passage in Hebrew.
-
E.
openingWordsMeaning
Indicates that the meaning or significance of a text is conveyed or characterized by its opening words.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cbfe1f948190ad2c0d5bbe0c7240 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:14 p.m.