Triple
T35718349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teresa Benedicta of the Cross |
E1032096
|
entity |
| Predicate | hasSainthoodTitle |
P145537
|
FINISHED |
| Object | Patron saint of Europe |
—
|
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 Europe | Statement: [Teresa Benedicta of the Cross, hasSainthoodTitle, Patron saint of Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSainthoodTitle Context triple: [Teresa Benedicta of the Cross, hasSainthoodTitle, Patron saint of Europe]
-
A.
honorsTitleOfSaint
Indicates that an entity recognizes or bestows the formal religious title of "saint" upon another entity.
-
B.
ecclesiasticalTitleIncludes
Indicates that one ecclesiastical title contains, subsumes, or incorporates another ecclesiastical title as part of its designation or scope.
-
C.
isEcclesiasticalTitle
chosen
Indicates that the entity functions as a formal religious or church office, rank, or honorific title within an ecclesiastical context.
-
D.
hasPatronSaint
Indicates that one entity serves as the patron saint associated with, protecting, or representing another entity.
-
E.
hasClericTitle
Indicates that an entity holds or is designated by a specific clerical or religious title in relation to another entity or context.
- 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:05 p.m.