Triple
T36930843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buz |
E913474
|
entity |
| Predicate | associatedWithTextualCorpus |
—
|
GENERATED |
| Object | Masoretic Text |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTextualCorpus Context triple: [Buz, associatedWithTextualCorpus, Masoretic Text]
-
A.
corpus
Indicates that an entity is a collection or body of texts, documents, or linguistic data used as a unified set for analysis or reference.
-
B.
relatedToAuthorCorpus
Indicates a general association or connection between something and the body of works (corpus) produced by a particular author.
-
C.
hasPartOfCorpus
Indicates that one entity constitutes a component or segment of the overall corpus associated with another entity.
-
D.
associatedWithText
Indicates that an entity has a contextual or semantic connection to a specific piece of text.
-
E.
hasTextualCorpus
chosen
Indicates that an entity is associated with or possesses a collection of written or textual materials.
- F. None of above.
Provenance (1 batch)
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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.