Triple
T6891004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Saints |
E159043
|
entity |
| Predicate | hasLiturgicalProper |
P5456
|
FINISHED |
| Object | proper readings |
—
|
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: proper readings | Statement: [All Saints, hasLiturgicalProper, proper readings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiturgicalProper Context triple: [All Saints, hasLiturgicalProper, proper readings]
-
A.
hasLiturgicalNature
Indicates that something possesses a liturgical character or function, typically relating to formal religious worship or rites.
-
B.
hasLiturgicalContext
Indicates that something is associated with, used in, or relevant to a formal religious or liturgical setting or practice.
-
C.
hasLiturgicalExpression
Indicates that one entity expresses, embodies, or is manifested through the liturgical practices, rites, or worship forms of another entity.
-
D.
hasLiturgicalMention
Indicates that one entity is referenced or mentioned within the liturgical texts, practices, or rites associated with another entity.
-
E.
hasLiturgicalReading
chosen
Indicates that a religious service, observance, or liturgical event includes or is associated with a specific prescribed reading from scripture or other sacred text.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d92d45f08190a730b3842c95b521 |
completed | March 27, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:24 p.m.