Triple
T12604826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fourth Sunday of Easter |
E300950
|
entity |
| Predicate | readingsInclude |
P22276
|
FINISHED |
| Object | Psalm 23 in many lectionaries |
—
|
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: Psalm 23 in many lectionaries | Statement: [Fourth Sunday of Easter, readingsInclude, Psalm 23 in many lectionaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readingsInclude Context triple: [Fourth Sunday of Easter, readingsInclude, Psalm 23 in many lectionaries]
-
A.
containsReading
chosen
Indicates that one entity includes or encompasses a particular reading (such as a measurement, value, or interpretation) within it.
-
B.
requiredReadingFor
Indicates that one item (such as a text or resource) must be read as a mandatory prerequisite or component for engaging with, understanding, or completing another item (such as a course, assignment, or program).
-
C.
textsIncludedIn
Indicates that certain texts are contained within, or form a subset of, a larger collection or body of texts.
-
D.
readsTo
Indicates that one entity reads or recites content aloud for the benefit of another entity.
-
E.
readingsCycle
Indicates that there is a recurring or cyclical pattern in the readings associated with an entity or process.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:10 p.m.