Triple
T35884937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schoenstatt Shrine |
E1037614
|
entity |
| Predicate | hasFeastOrFocusDay |
P9516
|
FINISHED |
| Object | October 18 |
—
|
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: October 18 | Statement: [Schoenstatt Shrine, hasFeastOrFocusDay, October 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFeastOrFocusDay Context triple: [Schoenstatt Shrine, hasFeastOrFocusDay, October 18]
-
A.
hasFeastOrCommemoration
Indicates that a particular day, event, or context includes an associated religious feast, liturgical celebration, or commemorative observance.
-
B.
hasLocalFeastMonth
Indicates that a particular location or community observes a local feast or festival during a specified month.
-
C.
hasAssociatedFeast
chosen
Indicates that something (such as a person, event, or entity) is linked to a specific feast or celebratory religious observance.
-
D.
hasPilgrimageOrFeast
Indicates that there is a religious pilgrimage or feast associated with, dedicated to, or occurring in relation to the referenced entity.
-
E.
feastDayStatus
Indicates the status or classification of a feast day in a liturgical or religious calendar (e.g., obligatory, optional, solemnity, memorial).
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:06 p.m.