Triple
T651405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malchuyot |
E11351
|
entity |
| Predicate | liturgicalGenre |
P17763
|
FINISHED |
| Object | piyyut and biblical verses |
—
|
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: piyyut and biblical verses | Statement: [Malchuyot, liturgicalGenre, piyyut and biblical verses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liturgicalGenre Context triple: [Malchuyot, liturgicalGenre, piyyut and biblical verses]
-
A.
liturgicalTheme
Indicates the religious or worship-related theme that characterizes or frames a liturgical action, text, or event.
-
B.
liturgicalCharacter
Indicates the specific role, function, or significance that something holds within a liturgical or worship context.
-
C.
liturgicalSetting
Indicates the specific religious or worship context in which a liturgical text, action, or element is intended to be used.
-
D.
liturgicalUsage
Indicates how something is used, practiced, or functions within a specific liturgical or worship context.
-
E.
liturgicalTradition
Indicates the specific religious rite or ceremonial tradition according to which a worship service, practice, or community operates.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f33b6d881908b6662b73d6fe833 |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d0eade081909c47e85ed55f808d |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49df0de3c81909721eb391ec94031 |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:36 p.m.