Triple
T2297550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tosefta |
E51651
|
entity |
| Predicate | hasScholarlyEdition |
P39052
|
FINISHED |
| Object | edition of Moses Samuel Zuckermandel |
—
|
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: edition of Moses Samuel Zuckermandel | Statement: [Tosefta, hasScholarlyEdition, edition of Moses Samuel Zuckermandel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScholarlyEdition Context triple: [Tosefta, hasScholarlyEdition, edition of Moses Samuel Zuckermandel]
-
A.
isScholarly
Indicates that an entity exhibits characteristics of academic rigor, research-based inquiry, and adherence to scholarly standards or conventions.
-
B.
hasCollectedEdition
Indicates that one entity possesses or maintains a special or curated edition or version of another entity as part of a collection.
-
C.
hasNotableScholar
Indicates that an entity is associated with a scholar who is recognized as particularly distinguished or influential in relation to that entity.
-
D.
hasPublication
Indicates that an entity is associated with or responsible for a specific publication.
-
E.
hasEditorialBoard
Indicates that an entity (such as a publication or journal) is overseen or governed by a specific editorial board.
- F. None of above. chosen
Provenance (4 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcd0e42248190ada33b84d75caa64 |
completed | March 7, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69abc589295c819092989820c2b4e9d8 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcd0d01ac8190935fe904905cb233 |
completed | March 7, 2026, 7 a.m. |
Created at: March 4, 2026, 7:49 p.m.