Triple
T26326359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Marian Shrine of Colombia |
E662262
|
entity |
| Predicate | associatedTitleOfMary |
P103067
|
FINISHED |
| Object | Our Lady of the Rosary of Chiquinquirá |
—
|
NE NERFINISHED |
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: Our Lady of the Rosary of Chiquinquirá | Statement: [National Marian Shrine of Colombia, associatedTitleOfMary, Our Lady of the Rosary of Chiquinquirá]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedTitleOfMary Context triple: [National Marian Shrine of Colombia, associatedTitleOfMary, Our Lady of the Rosary of Chiquinquirá]
-
A.
reportedTitleOfMary
Indicates that the specified title is one that has been reported or recorded as belonging to Mary.
-
B.
traditionalMarianTitle
chosen
Indicates that the subject is referred to by a traditional honorific or devotional title associated with the Virgin Mary.
-
C.
venerationOfMary
Indicates a relationship in which an entity shows reverence, honor, or devotional respect toward Mary.
-
D.
motherTitle
Indicates the formal title or honorific associated with a person's mother.
-
E.
depictionOfMary
Indicates that something is a visual or artistic representation of Mary.
- 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_69ee812f32748190871d970c4e2a8ddf |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69ff14d596e88190be5263b7f96a96cd |
completed | May 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69ff13f0208081909369aeb3b77a6b1f |
completed | May 9, 2026, 11:01 a.m. |
Created at: April 26, 2026, 10:31 p.m.