Triple
T32307381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Monterrey |
E825403
|
entity |
| Predicate | isMarianAdvocationOf |
P107974
|
FINISHED |
| Object | Virgin Mary |
—
|
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: Virgin Mary | Statement: [Our Lady of Monterrey, isMarianAdvocationOf, Virgin Mary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMarianAdvocationOf Context triple: [Our Lady of Monterrey, isMarianAdvocationOf, Virgin Mary]
-
A.
venerationOfMary
Indicates a relationship in which an entity shows reverence, honor, or devotional respect toward Mary.
-
B.
hasMarianDedication
chosen
Indicates that something (typically a church, chapel, or shrine) is dedicated to or in honor of the Virgin Mary.
-
C.
isVeneratedAs
Indicates that one entity is regarded and honored by others as sacred, holy, or worthy of deep reverence.
-
D.
isDevotedTo
Indicates a strong, enduring commitment or dedication that one entity directs toward another.
-
E.
unitesVenerationOf
Indicates that one entity brings together or combines the acts or practices of veneration directed toward multiple entities into a unified form.
- 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd83c5948190b534ba5d731a11ba |
completed | May 3, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:45 a.m.