Triple
T15804078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosh Hashanah Musaf service |
E383166
|
entity |
| Predicate | denominationalVariation |
P7124
|
FINISHED |
| Object | Orthodox liturgy |
—
|
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: Orthodox liturgy | Statement: [Rosh Hashanah Musaf service, denominationalVariation, Orthodox liturgy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denominationalVariation Context triple: [Rosh Hashanah Musaf service, denominationalVariation, Orthodox liturgy]
-
A.
hasDenominationalVariation
chosen
Indicates that there are differing forms, practices, or interpretations of something across distinct denominations or sects.
-
B.
denominations
Indicates the specific units or categories into which something (often money, values, or items) is divided or classified.
-
C.
denominationalCharacter
Indicates the specific religious denomination or sect with which an entity is affiliated or characterized.
-
D.
denominationalOrientation
Indicates the specific religious denomination or sect with which an entity is formally affiliated or aligned.
-
E.
hasDenominationalCounterpart
Indicates that one entity has a corresponding or equivalent entity in another religious denomination or branch.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b525b1c08190acffab06d89dbdbe |
completed | April 16, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.