Triple
T11147182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinnim |
E263697
|
entity |
| Predicate | hasTalmudYerushalmi |
P37924
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kinnim, hasTalmudYerushalmi, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTalmudYerushalmi Context triple: [Kinnim, hasTalmudYerushalmi, yes]
-
A.
hasJerusalemTalmud
chosen
Indicates that an entity possesses, is associated with, or is characterized by the Jerusalem Talmud.
-
B.
hasGemara
Indicates that an entity possesses, includes, or is associated with a Gemara (a Talmudic text or study component).
-
C.
hasNoBavliGemaraForMostTractates
Indicates that there is no Babylonian Talmud (Bavli) Gemara text available for the majority of the tractates in question.
-
D.
halakhicSource
Indicates a relationship where one item serves as the halakhic (Jewish legal) basis, authority, or source text for another.
-
E.
positionInTalmud
Indicates the specific location or ordering of a passage, topic, or element within the structured text of the Talmud.
- F. None of above.
Provenance (3 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e86e9ef48190b4df4b14319a954f |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.