Triple
T6092484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luke 22 |
E135799
|
entity |
| Predicate | mentionsRitual |
P68062
|
FINISHED |
| Object | Passover meal |
—
|
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: Passover meal | Statement: [Luke 22, mentionsRitual, Passover meal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mentionsRitual Context triple: [Luke 22, mentionsRitual, Passover meal]
-
A.
relatedRitual
Indicates that one entity is associated with, connected to, or involved in the performance or context of a particular ritual.
-
B.
hasRitual
Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
-
C.
appearsInRitual
Indicates that an entity is included, featured, or participates as a component or element within a specific ritual.
-
D.
languageUsedInRituals
Indicates that a particular language is employed as the medium of speech, chant, or recitation during specific rituals or ceremonial practices.
-
E.
hasRitualElements
Indicates that one entity incorporates, contains, or is characterized by ritualistic components, practices, or features associated with formalized ceremonies or rites.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057ab7324819086d4708e6f9391c0 |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:12 p.m.