Triple
T31575798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birkat Hashanim |
E805693
|
entity |
| Predicate | variantText |
P96537
|
FINISHED |
| Object | Sephardi nusach |
—
|
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: Sephardi nusach | Statement: [Birkat Hashanim, variantText, Sephardi nusach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: variantText Context triple: [Birkat Hashanim, variantText, Sephardi nusach]
-
A.
variant
Indicates that one entity is an alternative form, version, or variation of another entity.
-
B.
hasVariantText
chosen
Indicates that an entity is associated with an alternative or differing textual form of its content.
-
C.
languageVariant
Indicates that one language is a variant, dialect, or localized form of another language.
-
D.
exportVariantOf
Indicates that one entity is an exported version or externally released form derived from another, original entity.
-
E.
customizedVariantOf
Indicates that one entity is a modified or tailored version derived from another, preserving a core basis while introducing specific customizations.
- 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_69f348d3a86c8190a3e5e539a4dd125f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8055f8081908f635fe04654b5fe |
completed | May 3, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:21 p.m.