Triple
T31575814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birkat Hashanim |
E805693
|
entity |
| Predicate | textualElement |
P39049
|
FINISHED |
| Object | request to bless the work of our hands |
—
|
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: request to bless the work of our hands | Statement: [Birkat Hashanim, textualElement, request to bless the work of our hands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualElement Context triple: [Birkat Hashanim, textualElement, request to bless the work of our hands]
-
A.
textualAppearance
Indicates how something is presented, formatted, or visually structured in written or printed text.
-
B.
textType
Indicates the classification of a text according to its type, format, or genre.
-
C.
textContent
chosen
Indicates that one entity is the textual content or written material contained within another entity.
-
D.
textCharacter
Indicates that one entity is a character (such as a letter, digit, or symbol) within a piece of text associated with another entity.
-
E.
textualStructure
Indicates how parts of a text are organized and related to each other within its overall structure.
- 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.