Triple
T872588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St George's Day |
E18845
|
entity |
| Predicate | hasPatronSaintRole |
P8397
|
FINISHED |
| Object | patron saint of England |
—
|
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 England | Statement: [St George's Day, hasPatronSaintRole, patron saint of England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPatronSaintRole Context triple: [St George's Day, hasPatronSaintRole, patron saint of England]
-
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.
typeOfSaint
Indicates that one entity is classified as a specific kind or category of saint in relation to another entity.
-
D.
hasLiturgicalRank
Indicates that an entity is assigned a specific status or level within a liturgical or religious ceremonial hierarchy.
-
E.
hasClergyType
Indicates the specific category or role of clergy associated with an entity.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac97d0f88190b67fcb7fc058e4b9 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8b9b5c81909ac71904f8b8b5cd |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.