Triple
T30787372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mass of the Immaculate Conception |
E783990
|
entity |
| Predicate | typicalSecondReading |
P207307
|
FINISHED |
| Object | Ephesians 1:3–6, 11–12 |
—
|
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: Ephesians 1:3–6, 11–12 | Statement: [Mass of the Immaculate Conception, typicalSecondReading, Ephesians 1:3–6, 11–12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSecondReading Context triple: [Mass of the Immaculate Conception, typicalSecondReading, Ephesians 1:3–6, 11–12]
-
A.
typicalSecondShot
Indicates that an action or event represents the usual or characteristic second attempt or follow-up in a sequence.
-
B.
secondIntroduction
Indicates that an entity is being introduced or presented for the second time in a given context or sequence.
-
C.
secondSentenceStandard
Indicates that the referenced text is the second sentence according to a standard or canonical sentence segmentation.
-
D.
secondedBy
Indicates that an initial proposal, motion, or action by one entity is formally supported or endorsed by another entity as a second.
-
E.
secondLetter
Indicates that one entity is the second letter (in sequence or position) of another entity, typically a string or word.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 8:41 p.m.