Triple
T15573018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feast of Saint Francis of Assisi |
E374294
|
entity |
| Predicate | honorsRoleOfSaint |
P51002
|
FINISHED |
| Object | patron saint of animals |
—
|
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 animals | Statement: [Feast of Saint Francis of Assisi, honorsRoleOfSaint, patron saint of animals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsRoleOfSaint Context triple: [Feast of Saint Francis of Assisi, honorsRoleOfSaint, patron saint of animals]
-
A.
honorsTitleOfSaint
Indicates that an entity recognizes or bestows the formal religious title of "saint" upon another entity.
-
B.
honorsRole
chosen
Indicates that one entity formally recognizes and respects the position, title, or role held by another entity.
-
C.
honorsRoleAs
Indicates that one entity shows respect, recognition, or deference to another entity specifically in their official position or function.
-
D.
typeOfSaint
Indicates that one entity is classified as a specific kind or category of saint in relation to another entity.
-
E.
venerationOfSaints
Indicates the act of showing honor, reverence, or devotional respect toward saints.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2025888190a2b6240296bba13e |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:10 a.m.