Triple
T917306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feast of Saint Joseph the Worker |
E19798
|
entity |
| Predicate | typeOfVeneration |
P5315
|
FINISHED |
| Object | devotion to Saint Joseph |
—
|
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: devotion to Saint Joseph | Statement: [Feast of Saint Joseph the Worker, typeOfVeneration, devotion to Saint Joseph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfVeneration Context triple: [Feast of Saint Joseph the Worker, typeOfVeneration, devotion to Saint Joseph]
-
A.
venerationType
chosen
Indicates the specific manner or category of reverence or worship directed toward an entity.
-
B.
veneratedBy
Indicates that one entity is regarded with deep respect, reverence, or worship by another entity.
-
C.
templeType
Indicates the specific category or classification of a temple in terms of its form, function, or religious/architectural style.
-
D.
worshippedIn
Indicates that a particular deity, figure, or object of reverence is the focus of religious or spiritual worship within a specified place or context.
-
E.
veneratedAt
Indicates that an entity is honored, revered, or worshipped at a particular place or institution.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b6755c488190b7f7848110e3ea2c |
completed | March 1, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69a4b292d3408190947cbc2f794cf8c5 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.