Triple
T3113343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solemnity of Mary, Mother of God |
E65000
|
entity |
| Predicate | commemoratesDoctrine |
P45405
|
FINISHED |
| Object | divine maternity of Mary |
—
|
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: divine maternity of Mary | Statement: [Solemnity of Mary, Mother of God, commemoratesDoctrine, divine maternity of Mary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commemoratesDoctrine Context triple: [Solemnity of Mary, Mother of God, commemoratesDoctrine, divine maternity of Mary]
-
A.
commemoratedBy
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
-
B.
commemoratedFor
Indicates that one entity is honored, remembered, or celebrated because of a particular action, achievement, event, or characteristic associated with it.
-
C.
commemoratedIn
Indicates that something is honored, remembered, or recognized within a particular work, event, place, or medium.
-
D.
commemoratedOn
Indicates that something is remembered, honored, or celebrated on a specific date or occasion.
-
E.
commemoratesCity
Indicates that something serves as a memorial or tribute specifically to a particular city.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43c79448190aa72f707319e8c5e |
completed | March 8, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_69ad9df25d4c81908ff0f6cff55d0563 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:04 p.m.