Triple
T16049859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Malei Rachamim |
E389324
|
entity |
| Predicate | translationOfOpening |
P25592
|
FINISHED |
| Object | "God, full of mercy, who dwells on high" |
—
|
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: "God, full of mercy, who dwells on high" | Statement: [El Malei Rachamim, translationOfOpening, "God, full of mercy, who dwells on high"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translationOfOpening Context triple: [El Malei Rachamim, translationOfOpening, "God, full of mercy, who dwells on high"]
-
A.
translationOfOpeningWords
chosen
Indicates that one text is a translation of the initial words or opening phrase of another text.
-
B.
textOpeningTranslation
Indicates that a text serves as a translation of the opening section of another text.
-
C.
originalOpeningAs
Indicates that one entity serves as the initial or first version of another entity’s opening or beginning.
-
D.
initialOpening
Indicates the first or earliest instance in which something is opened, begun, or made accessible.
-
E.
translatedIn
Indicates that a work, text, or content has been rendered from its original language into another specified language or linguistic form.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.