Triple
T3719812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaaleh VeYavo insertion in Amidah |
E81611
|
entity |
| Predicate | textualOpening |
P829
|
FINISHED |
| Object | "Yaaleh veYavo veYagia" |
—
|
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: "Yaaleh veYavo veYagia" | Statement: [Yaaleh VeYavo insertion in Amidah, textualOpening, "Yaaleh veYavo veYagia"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualOpening Context triple: [Yaaleh VeYavo insertion in Amidah, textualOpening, "Yaaleh veYavo veYagia"]
-
A.
textOpeningTranslation
Indicates that a text serves as a translation of the opening section of another text.
-
B.
openingLine
chosen
Indicates that one entity is the first line or initial statement that begins another entity, such as a text, speech, or conversation.
-
C.
openingEngagementOf
Indicates that one event, action, or interaction serves as the initial or first engagement within a larger sequence, context, or relationship involving another entity or event.
-
D.
openingAnswer
Indicates that an entity provides an initial or first response in a dialogue, interaction, or sequence of answers.
-
E.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca99e4248190a6a91808010b8b05 |
completed | March 8, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.