Triple
T18788439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Vilupulli |
E459440
|
entity |
| Predicate | hasPilgrimageOrFeast |
P133012
|
FINISHED |
| Object | local Marian feast day |
—
|
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: local Marian feast day | Statement: [Church of Vilupulli, hasPilgrimageOrFeast, local Marian feast day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPilgrimageOrFeast Context triple: [Church of Vilupulli, hasPilgrimageOrFeast, local Marian feast day]
-
A.
hasFeastOrCommemoration
Indicates that a particular day, event, or context includes an associated religious feast, liturgical celebration, or commemorative observance.
-
B.
hasAssociatedFeast
Indicates that something (such as a person, event, or entity) is linked to a specific feast or celebratory religious observance.
-
C.
hasPilgrimageActivity
Indicates that an entity engages in, organizes, or is associated with a religious pilgrimage activity.
-
D.
isMovableFeast
Indicates that an event or celebration occurs on a date that changes from year to year rather than being fixed on the calendar.
-
E.
pilgrimageFestivalsObserved
Indicates that certain pilgrimage-related religious festivals are practiced or observed by the subject.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59783ea4c8190b1b04d08f65b7d19 |
completed | April 20, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:53 a.m.