Triple
T28258962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiusi della Verna |
E712530
|
entity |
| Predicate | hasSaintAssociated |
P43509
|
FINISHED |
| Object | Saint Francis of Assisi |
—
|
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: Saint Francis of Assisi | Statement: [Chiusi della Verna, hasSaintAssociated, Saint Francis of Assisi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSaintAssociated Context triple: [Chiusi della Verna, hasSaintAssociated, Saint Francis of Assisi]
-
A.
hasPatronSaint
Indicates that one entity serves as the patron saint associated with, protecting, or representing another entity.
-
B.
linkedToSaint
chosen
Indicates that one entity has a direct association or connection with a saint.
-
C.
saintPatronageAssociatedWith
Indicates that a patronage relationship exists, where a saint is recognized as a special protector or advocate for a particular person, group, place, activity, or cause.
-
D.
shipAssociatedWith
Indicates that there is a relevant connection or involvement between a ship and another entity, such as ownership, operation, registration, or functional association.
-
E.
leaderAssociatedWith
Indicates a relationship where a leader is connected or affiliated with a particular entity, such as an organization, group, or cause.
- 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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 27, 2026, 11:10 p.m.