Triple
T968154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shema Yisrael |
E20882
|
entity |
| Predicate | recitedBefore |
P4789
|
FINISHED |
| Object | sleep (Kriat Shema al ha-mitah) |
—
|
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: sleep (Kriat Shema al ha-mitah) | Statement: [Shema Yisrael, recitedBefore, sleep (Kriat Shema al ha-mitah)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recitedBefore Context triple: [Shema Yisrael, recitedBefore, sleep (Kriat Shema al ha-mitah)]
-
A.
spokenBefore
chosen
Indicates that one entity has spoken or produced speech earlier in time than another entity.
-
B.
memorizedBy
Indicates that some content, information, or material has been learned and retained in memory by a particular entity.
-
C.
usedBefore
Indicates that one entity was utilized or applied prior to the use or occurrence of another entity.
-
D.
narratedTo
Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
-
E.
recitationTradition
Indicates a relationship where a text, work, or content is transmitted or performed according to a particular established style, method, or lineage of recitation.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b43549008190a4d65efdc3bda520 |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a579888190afb489ac9fe8391c |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.