Triple
T30787373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mass of the Immaculate Conception |
E783990
|
entity |
| Predicate | typicalGospel |
P56073
|
FINISHED |
| Object | Luke 1:26–38 |
—
|
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: Luke 1:26–38 | Statement: [Mass of the Immaculate Conception, typicalGospel, Luke 1:26–38]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGospel Context triple: [Mass of the Immaculate Conception, typicalGospel, Luke 1:26–38]
-
A.
gospelAudienceTraditional
Indicates that the gospel is directed toward or intended for a traditional audience, typically aligned with established or longstanding religious or cultural norms.
-
B.
gospelDescription
Indicates that one entity provides a summary or explanation of the core message, content, or significance of the gospel concerning another entity.
-
C.
gospelTerm
Indicates that one entity is a term, concept, or expression specifically associated with the gospel or gospel-related discourse in relation to another entity.
-
D.
gospelEpisode
chosen
Indicates that one entity is an episode or segment within a gospel narrative or gospel-related series associated with another entity.
-
E.
gospelLocation
Indicates the location where a gospel-related event, activity, or presence occurs or is associated.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:41 p.m.