Triple
T33054890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parashat Acharei Mot |
E845819
|
entity |
| Predicate | halakhicContent |
P171976
|
FINISHED |
| Object | laws of sacrificial worship |
—
|
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: laws of sacrificial worship | Statement: [Parashat Acharei Mot, halakhicContent, laws of sacrificial worship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: halakhicContent Context triple: [Parashat Acharei Mot, halakhicContent, laws of sacrificial worship]
-
A.
halachicSection
Indicates a relationship where a subject is classified under, or associated with, a specific section or subdivision within halachic (Jewish legal) texts or rulings.
-
B.
halakhicFunction
Indicates a relationship where something serves a role, purpose, or effect within the framework of Jewish law (halakha).
-
C.
halachicTopic
chosen
Indicates that something is related to, concerns, or falls under a particular topic within Jewish law (halacha).
-
D.
halakhicSource
Indicates a relationship where one item serves as the halakhic (Jewish legal) basis, authority, or source text for another.
-
E.
halachicCategory
Indicates the classification of something according to Jewish legal (halachic) categories or rulings.
- 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:25 a.m.