Triple
T10166561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leviticus 18:5 |
E235218
|
entity |
| Predicate | hebrewOpeningWords |
P58461
|
FINISHED |
| Object | וּשְׁמַרְתֶּם אֶת־חֻקֹּתַי וְאֶת־מִשְׁפָּטַי |
—
|
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: וּשְׁמַרְתֶּם אֶת־חֻקֹּתַי וְאֶת־מִשְׁפָּטַי | Statement: [Leviticus 18:5, hebrewOpeningWords, וּשְׁמַרְתֶּם אֶת־חֻקֹּתַי וְאֶת־מִשְׁפָּטַי]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hebrewOpeningWords Context triple: [Leviticus 18:5, hebrewOpeningWords, וּשְׁמַרְתֶּם אֶת־חֻקֹּתַי וְאֶת־מִשְׁפָּטַי]
-
A.
openingWordsHebrew
chosen
Indicates that the specified words are the opening (initial) words of a text or passage in Hebrew.
-
B.
hebrewMeaning
Indicates that one entity specifies or provides the meaning or translation of another entity in the Hebrew language.
-
C.
positionInHebrewBible
Indicates the ordinal position that something occupies within the canonical sequence of books or passages in the Hebrew Bible.
-
D.
hasOpeningVerseMeaning
Indicates that something (such as a text, song, or poem) possesses an opening verse that conveys a particular meaning or message.
-
E.
openingVerseTranslation
Indicates the specific translated rendering of the opening verse of a text or work.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6e016c81909ded2a16b839c405 |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:10 p.m.