Triple
T9541360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shemini Atzeret |
E230164
|
entity |
| Predicate | durationInIsrael |
P36023
|
FINISHED |
| Object | 1 day |
—
|
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: 1 day | Statement: [Shemini Atzeret, durationInIsrael, 1 day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: durationInIsrael Context triple: [Shemini Atzeret, durationInIsrael, 1 day]
-
A.
observanceLengthInIsrael
chosen
Indicates the duration or number of days that a particular observance is kept specifically in Israel.
-
B.
durationInUK
Indicates the length of time that an entity has spent or is expected to spend in the United Kingdom.
-
C.
timeframeRelativeToRoshHashanah
Indicates the temporal relationship of an event or period in reference to Rosh Hashanah (e.g., before, during, or after the holiday).
-
D.
intendedDuration
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
-
E.
observanceLengthInDiaspora
Indicates the length of time that a particular observance is practiced or observed in Jewish diaspora communities.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e82bb08190aed3ed0627923d22 |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:01 p.m.