Triple
T21529638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilchot She’eilah uFikadon |
E531193
|
entity |
| Predicate | primarySourcesDiscussed |
P144726
|
FINISHED |
| Object | tractates Bava Metzia and Bava Kama |
—
|
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: tractates Bava Metzia and Bava Kama | Statement: [Hilchot She’eilah uFikadon, primarySourcesDiscussed, tractates Bava Metzia and Bava Kama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySourcesDiscussed Context triple: [Hilchot She’eilah uFikadon, primarySourcesDiscussed, tractates Bava Metzia and Bava Kama]
-
A.
primarySources
Indicates that one entity serves as an original, authoritative source of information or evidence for another entity.
-
B.
editorialSource
Indicates that one entity serves as the editorial origin, provider, or authority for the content or information associated with another entity.
-
C.
primarySourceChapters
Indicates that specific chapters are identified as the primary source material for the referenced content or work.
-
D.
textSources
Indicates that one entity serves as a source or origin for the text content associated with another entity.
-
E.
laterSources
Indicates that the information, claim, or reference is derived from sources that were created or recorded at a later time than the event or material being discussed.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee88539d948190a5e3acc25c1e292e |
completed | April 26, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:27 p.m.