Triple
T2045370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shemini Atzeret |
E45437
|
entity |
| Predicate | observanceLengthInDiaspora |
P36024
|
FINISHED |
| Object | 2 days |
—
|
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: 2 days | Statement: [Shemini Atzeret, observanceLengthInDiaspora, 2 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observanceLengthInDiaspora Context triple: [Shemini Atzeret, observanceLengthInDiaspora, 2 days]
-
A.
observanceMayVaryByCountry
Indicates that the way something is observed, celebrated, or practiced can differ depending on the country.
-
B.
observanceMayVaryByYear
Indicates that the way an observance is recognized, scheduled, or practiced can differ from one year to another.
-
C.
observance
Indicates the performance or maintenance of a practice, rule, or custom in accordance with prescribed or expected standards.
-
D.
timeframeRelativeToPassover
Indicates the temporal relationship of an event or action to the time of Passover (e.g., before, during, or after Passover).
-
E.
observancePattern
Indicates how an action, rule, or practice is regularly carried out or followed over time, such as its schedule, frequency, or customary pattern of observance.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abbc2b07d48190ba9d67353167b472 |
completed | March 7, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:39 p.m.