Triple
T31575719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shehecheyanu blessing |
E805691
|
entity |
| Predicate | notRecitedFor |
P24459
|
FINISHED |
| Object | sad or tragic occasions |
—
|
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: sad or tragic occasions | Statement: [Shehecheyanu blessing, notRecitedFor, sad or tragic occasions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notRecitedFor Context triple: [Shehecheyanu blessing, notRecitedFor, sad or tragic occasions]
-
A.
notRecitedOn
chosen
Indicates that a particular text, prayer, or recitation was not performed or spoken on a specified occasion, time, or context.
-
B.
mayBeRecited
Indicates that something is permitted or suitable to be spoken aloud or recited, typically in a formal or ritualized manner.
-
C.
isOftenRecitedFor
Indicates that something (such as a text, phrase, or piece of music) is frequently spoken, chanted, or performed for a particular purpose, audience, or occasion.
-
D.
notWrittenBy
Indicates that a specified work or content is explicitly not authored or created by a given entity.
-
E.
recites
Indicates that one entity verbally delivers or repeats from memory the words, text, or performance associated with another 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_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.