Triple
T529848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shalom Aleichem |
E12198
|
entity |
| Predicate | textualForm |
P5468
|
FINISHED |
| Object | piyyut |
—
|
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: piyyut | Statement: [Shalom Aleichem, textualForm, piyyut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualForm Context triple: [Shalom Aleichem, textualForm, piyyut]
-
A.
writtenForm
Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
-
B.
logicalForm
Indicates a relationship where an expression is associated with its structured, formal logical representation.
-
C.
textType
chosen
Indicates the classification of a text according to its type, format, or genre.
-
D.
textMode
Indicates that something operates, is displayed, or is processed in a mode where information is handled primarily as text rather than as graphics or other media.
-
E.
visualForm
Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b257108190a537dffbb9d621b5 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.