Triple
T23310482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nun danket alle Gott |
E590568
|
entity |
| Predicate | textBasedOn |
P4593
|
FINISHED |
| Object | Sirach 50:22–24 |
—
|
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: Sirach 50:22–24 | Statement: [Nun danket alle Gott, textBasedOn, Sirach 50:22–24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textBasedOn Context triple: [Nun danket alle Gott, textBasedOn, Sirach 50:22–24]
-
A.
basedOnText
chosen
Indicates that something is derived, adapted, or developed from a specific text source.
-
B.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
-
C.
characterBasedOn
Indicates that one character is modeled, inspired, or derived from another real or fictional entity.
-
D.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
E.
isBasedOn
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972acad08190bb56541b822555cd |
completed | April 29, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:05 p.m.