Triple
T5886661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blessings of the Shema |
E130880
|
entity |
| Predicate | recitationSetting |
P67278
|
FINISHED |
| Object | synagogue |
—
|
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: synagogue | Statement: [Blessings of the Shema, recitationSetting, synagogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recitationSetting Context triple: [Blessings of the Shema, recitationSetting, synagogue]
-
A.
recitationCustom
Indicates that one entity performs or delivers a recitation in a customized or non-standard manner for another entity or context.
-
B.
recitationStatus
Indicates the current state or condition of a recitation activity or session, such as whether it is planned, ongoing, completed, or canceled.
-
C.
recitationRecommended
Indicates that a particular recitation session or section is recommended for an entity, such as a student or course.
-
D.
recitationRecommendedAfter
Indicates that one item is advised or suggested to be recited after another in a recommended sequence.
-
E.
recitationForm
Indicates the specific manner, style, or format in which something is recited or orally presented.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03fdf954c8190ae97a5c9ce40bdfa |
completed | March 22, 2026, 7:15 p.m. |
Created at: March 22, 2026, 3:57 p.m.