Triple
T34666779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | מסכת מועד קטן |
E890278
|
entity |
| Predicate | hasFirstMishnah |
P200476
|
FINISHED |
| Object | משקין בית השלחין במועד ובשביעית |
—
|
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: משקין בית השלחין במועד ובשביעית | Statement: [מסכת מועד קטן, hasFirstMishnah, משקין בית השלחין במועד ובשביעית]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstMishnah Context triple: [מסכת מועד קטן, hasFirstMishnah, משקין בית השלחין במועד ובשביעית]
-
A.
hasFirstSutra
Indicates that an entity (such as a text or collection) has a specific sutra designated as its first sutra.
-
B.
hasMishnahChapters
Indicates that an entity (typically a tractate or section) is associated with a specific number or set of chapters in the Mishnah.
-
C.
hasGemara
Indicates that an entity possesses, includes, or is associated with a Gemara (a Talmudic text or study component).
-
D.
hasTractateOrder
Indicates that something is associated with, or belongs to, a particular tractate order (a specific division or grouping of tractates).
-
E.
hasMasorah
Indicates that a text or manuscript is associated with, contains, or is annotated by the Masorah (the traditional Jewish textual notes and transmission apparatus).
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff8cecbf048190860b9f72b8753f5c |
completed | May 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69ff8c4c39dc8190b5bf35adc1bae7c6 |
completed | May 9, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69ff8cec1e4c8190b2d66b3e0f913bfd |
completed | May 9, 2026, 7:37 p.m. |
Created at: May 1, 2026, 2:05 a.m.