Triple
T15804376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musaf of Rosh Hashanah |
E383172
|
entity |
| Predicate | numberOfDaysObserved |
P4563
|
FINISHED |
| Object | One day in Israel (majority practice) |
—
|
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: One day in Israel (majority practice) | Statement: [Musaf of Rosh Hashanah, numberOfDaysObserved, One day in Israel (majority practice)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDaysObserved Context triple: [Musaf of Rosh Hashanah, numberOfDaysObserved, One day in Israel (majority practice)]
-
A.
hasDayCount
Indicates that an entity is associated with a specific number of days, expressing the duration or count of days related to it.
-
B.
numberOfDaysRun
Indicates the total count of days during which the referenced activity or process has been run or executed.
-
C.
observingNightsPerYear
Indicates the number of nights per year during which observations are conducted.
-
D.
observesDay
chosen
Indicates that an entity recognizes, commemorates, or practices a particular day (such as a holiday, event, or observance) according to some calendar or tradition.
-
E.
possibleLengthDays
Indicates that an entity can have a duration, measured in whole or fractional days, equal to the specified value.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b525b1c08190acffab06d89dbdbe |
completed | April 16, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.