Triple
T19591810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deuteronomy 25:17–19 |
E470253
|
entity |
| Predicate | traditionalReadingStatus |
P55333
|
FINISHED |
| Object | one of the four special Shabbat readings |
—
|
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: one of the four special Shabbat readings | Statement: [Deuteronomy 25:17–19, traditionalReadingStatus, one of the four special Shabbat readings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalReadingStatus Context triple: [Deuteronomy 25:17–19, traditionalReadingStatus, one of the four special Shabbat readings]
-
A.
containsReading
Indicates that one entity includes or encompasses a particular reading (such as a measurement, value, or interpretation) within it.
-
B.
reading
Indicates that an entity is engaged in the activity of interpreting and understanding written or printed material from another entity or source.
-
C.
hasReading
chosen
Indicates that an entity is associated with a particular reading, such as a measured value, interpretation, or recorded observation.
-
D.
readingAid
Indicates that one entity assists or facilitates another entity’s ability to read or engage in reading activities.
-
E.
readingOrganizer
Indicates that an entity is responsible for planning, managing, or coordinating reading-related activities or materials for others.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6405646f0819089436d5517c03047 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.