Triple
T31514744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stylianos |
E804035
|
entity |
| Predicate | saintPatronageAssociatedWith |
P172260
|
FINISHED |
| Object | children (through Saint Stylianos of Paphlagonia) |
—
|
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: children (through Saint Stylianos of Paphlagonia) | Statement: [Stylianos, saintPatronageAssociatedWith, children (through Saint Stylianos of Paphlagonia)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: saintPatronageAssociatedWith Context triple: [Stylianos, saintPatronageAssociatedWith, children (through Saint Stylianos of Paphlagonia)]
-
A.
nationalPatronSaint
Indicates that one entity is recognized as the official patron saint of a particular nation.
-
B.
locatedInCityWithPatronSaint
Indicates that an entity is situated in a city whose designated patron saint is a specific person.
-
C.
parishPatronSaint
Indicates that a particular saint is recognized as the patron saint of a given parish.
-
D.
coPatronSaint
Indicates that two or more saints share the role of patronage over the same place, group, or cause.
-
E.
religiousPatronageIn
Indicates that an entity provides religious patronage, support, or sponsorship within a specified place or region.
- F. None of above. chosen
Provenance (4 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a915ead881909463ae46419c343e |
completed | May 3, 2026, 1:47 a.m. |
Created at: April 30, 2026, 9:52 p.m.