Triple
T2276373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sigd |
E50779
|
entity |
| Predicate | timingRelativeToYomKippur |
P36506
|
FINISHED |
| Object | 50 days after Yom Kippur |
—
|
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: 50 days after Yom Kippur | Statement: [Sigd, timingRelativeToYomKippur, 50 days after Yom Kippur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timingRelativeToYomKippur Context triple: [Sigd, timingRelativeToYomKippur, 50 days after Yom Kippur]
-
A.
timeframeRelativeToRoshHashanah
Indicates the temporal relationship of an event or period in reference to Rosh Hashanah (e.g., before, during, or after the holiday).
-
B.
timeframeRelativeToPassover
Indicates the temporal relationship of an event or action to the time of Passover (e.g., before, during, or after Passover).
-
C.
differenceFromShabbat
Indicates a relationship where something is characterized or measured specifically by how it differs from Shabbat in status, practice, or conditions.
-
D.
linkedToJewishHoliday
Indicates that something has a direct association or connection with a specific Jewish holiday.
-
E.
observanceLengthInIsrael
Indicates the duration or number of days that a particular observance is kept specifically in Israel.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1ecc600819095dd4f69af1d18d8 |
completed | March 7, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69abbdb9aa3c819088d0316c5269a1c2 |
completed | March 7, 2026, 5:55 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:48 p.m.