Triple
T310802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Nicholas Day |
E7602
|
entity |
| Predicate | patronSaintHonored |
P8397
|
FINISHED |
| Object | patron saint of children |
—
|
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: patron saint of children | Statement: [Saint Nicholas Day, patronSaintHonored, patron saint of children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patronSaintHonored Context triple: [Saint Nicholas Day, patronSaintHonored, patron saint of children]
-
A.
hasPatronSaint
chosen
Indicates that one entity serves as the patron saint associated with, protecting, or representing another entity.
-
B.
nationalPatronSaint
Indicates that one entity is recognized as the official patron saint of a particular nation.
-
C.
veneratedBy
Indicates that one entity is regarded with deep respect, reverence, or worship by another entity.
-
D.
consecratedBy
Indicates that one entity has been formally made sacred, dedicated, or set apart for religious use through a ritual or act performed by another entity.
-
E.
veneratedAt
Indicates that an entity is honored, revered, or worshipped at a particular place or institution.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea49636c8190a69cbd951fc0a4db |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e940b9e8819092b821ff17ed026b |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:07 p.m.