Triple
T10816936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seder Tohorot |
E255254
|
entity |
| Predicate | hasNoBavliGemaraForMostTractates |
P95908
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Seder Tohorot, hasNoBavliGemaraForMostTractates, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoBavliGemaraForMostTractates Context triple: [Seder Tohorot, hasNoBavliGemaraForMostTractates, true]
-
A.
hasGemara
Indicates that an entity possesses, includes, or is associated with a Gemara (a Talmudic text or study component).
-
B.
hasNotableRabbi
Indicates that an entity is associated with a rabbi who is recognized as notable or distinguished.
-
C.
includesMegillot
Indicates that one entity contains or encompasses the set of texts or items referred to as Megillot.
-
D.
numberOfTractates
Indicates the total count of tractates associated with a given entity or collection.
-
E.
hasJerusalemTalmud
Indicates that an entity possesses, is associated with, or is characterized by the Jerusalem Talmud.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eea03c8190a68f4d4f89f497a2 |
completed | April 9, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101c96708190808fef73199e8482 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:18 p.m.