Triple
T4495665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shlomo Halevi Alkabetz |
E100687
|
entity |
| Predicate | liturgicalUseOfWork |
P9871
|
FINISHED |
| Object | Kabbalat Shabbat service |
—
|
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: Kabbalat Shabbat service | Statement: [Shlomo Halevi Alkabetz, liturgicalUseOfWork, Kabbalat Shabbat service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liturgicalUseOfWork Context triple: [Shlomo Halevi Alkabetz, liturgicalUseOfWork, Kabbalat Shabbat service]
-
A.
liturgicalUsage
Indicates how something is used, practiced, or functions within a specific liturgical or worship context.
-
B.
includesLiturgicalUse
Indicates that something encompasses or involves use within a liturgical or formal religious worship context.
-
C.
usedInLiturgy
chosen
Indicates that something is employed or incorporated as part of a formal religious liturgy or worship service.
-
D.
aimsForLiturgicalUse
Indicates that something is intended or designed specifically for use in liturgical or formal religious worship contexts.
-
E.
usesAlsoLiturgy
Indicates that an entity additionally employs or follows a particular liturgy alongside its primary or other liturgical practices.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56bde14c819091d42839a46291d0 |
completed | March 20, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69bd521671688190bc655d25fa77eba2 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1 p.m.