Triple
T113124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosh Hashanah |
E2287
|
entity |
| Predicate | TashlichDescription |
P7170
|
FINISHED |
| Object | symbolic casting of sins into a body of water |
—
|
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: symbolic casting of sins into a body of water | Statement: [Rosh Hashanah, TashlichDescription, symbolic casting of sins into a body of water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TashlichDescription Context triple: [Rosh Hashanah, TashlichDescription, symbolic casting of sins into a body of water]
-
A.
mouthOf
Indicates the location where one entity (typically a river or similar feature) empties into or opens out into another, larger body or feature.
-
B.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
-
C.
languageOfCeremony
Indicates the language in which a ceremony is conducted or officially performed.
-
D.
hasParkAlongBank
Indicates that a park is located adjacent to or running alongside the bank of a water body.
-
E.
LiberationOfAuschwitz
Indicates the act or event of freeing prisoners and ending Nazi control at the Auschwitz concentration camp.
- F. None of above. chosen
Provenance (4 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a256425a488190959d71e39e699d90 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2587e598c81909e1082b813971f48 |
completed | Feb. 28, 2026, 2:52 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.