Triple
T202209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yom Kippur |
E4528
|
entity |
| Predicate | modernPractice |
P8269
|
FINISHED |
| Object | extended synagogue services |
—
|
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: extended synagogue services | Statement: [Yom Kippur, modernPractice, extended synagogue services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernPractice Context triple: [Yom Kippur, modernPractice, extended synagogue services]
-
A.
modernUse
Indicates how something is currently used or applied in modern times.
-
B.
modernization
Indicates a process by which something is updated, reformed, or transformed to align with contemporary standards, technologies, or practices.
-
C.
currentBestPractice
Indicates that something represents the most up-to-date and widely accepted recommended method or standard at the present time.
-
D.
contemporary
Indicates that two entities exist, occur, or are active during the same time period or historical era.
-
E.
practice
Indicates that an entity regularly performs an activity or skill, typically to improve proficiency or maintain competence.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c2ead8481909996042efcae5e9d |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b4a0d448190a6fa6aeb30dc7e13 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25c2bda788190bcfc0bc94686f9e0 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.