Triple
T33996511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aliyah la-regel |
E871685
|
entity |
| Predicate | associatedWithSukkotTheme |
P2317
|
FINISHED |
| Object | dwelling in booths in the wilderness |
—
|
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: dwelling in booths in the wilderness | Statement: [Aliyah la-regel, associatedWithSukkotTheme, dwelling in booths in the wilderness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithSukkotTheme Context triple: [Aliyah la-regel, associatedWithSukkotTheme, dwelling in booths in the wilderness]
-
A.
associatedWithParashah
Indicates that one entity has a specified relationship, connection, or linkage to a particular parashah (a section of biblical text).
-
B.
themedAs
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
-
C.
linkedToJewishHoliday
chosen
Indicates that something has a direct association or connection with a specific Jewish holiday.
-
D.
followsInTheme
Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
-
E.
typicalThemeAssociation
Indicates a common or characteristic thematic connection that typically links one entity with another.
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:50 a.m.