Triple
T33736024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laetare Jerusalem |
E864415
|
entity |
| Predicate | incipitTranslation |
P49383
|
FINISHED |
| Object | Rejoice, Jerusalem |
—
|
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: Rejoice, Jerusalem | Statement: [Laetare Jerusalem, incipitTranslation, Rejoice, Jerusalem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incipitTranslation Context triple: [Laetare Jerusalem, incipitTranslation, Rejoice, Jerusalem]
-
A.
openingVerseTransliteration
Indicates the transliterated form of the opening verse of a text, showing how it is pronounced using a target script or phonetic system.
-
B.
openingVerseTranslation
chosen
Indicates the specific translated rendering of the opening verse of a text or work.
-
C.
introitTranslation
Indicates that one entity is a translation of an introit (a liturgical entrance chant) into the language or form represented by the other entity.
-
D.
translationInitiation
Indicates the start of protein synthesis, where the ribosome assembles on mRNA and begins decoding it to form a polypeptide chain.
-
E.
بداية المنصب
Indicates the starting point in time when an entity officially assumes a position or office.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb26299081908bcf2f0e60d6caf7 |
completed | May 3, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:44 a.m.