Triple
T12809690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sixth Sunday of Easter |
E306237
|
entity |
| Predicate | readingsOftenInclude |
P82140
|
FINISHED |
| Object | Gospel passages from John 14 |
—
|
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: Gospel passages from John 14 | Statement: [Sixth Sunday of Easter, readingsOftenInclude, Gospel passages from John 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readingsOftenInclude Context triple: [Sixth Sunday of Easter, readingsOftenInclude, Gospel passages from John 14]
-
A.
containsReading
Indicates that one entity includes or encompasses a particular reading (such as a measurement, value, or interpretation) within it.
-
B.
oftenReadDuring
chosen
Indicates that something is frequently read or consulted during a particular time, activity, or situation.
-
C.
readingsCycle
Indicates that there is a recurring or cyclical pattern in the readings associated with an entity or process.
-
D.
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).
-
E.
readsTo
Indicates that one entity reads or recites content aloud for the benefit of another entity.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e817598819080fdd61e9d61236e |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:31 p.m.