Triple
T29845284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of the Virgin of Socavón |
E757912
|
entity |
| Predicate | pilgrimageTime |
P70425
|
FINISHED |
| Object | Carnival period |
—
|
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: Carnival period | Statement: [Sanctuary of the Virgin of Socavón, pilgrimageTime, Carnival period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimageTime Context triple: [Sanctuary of the Virgin of Socavón, pilgrimageTime, Carnival period]
-
A.
pilgrimageSince
Indicates that an entity has been engaged in or committed to a pilgrimage starting from a specified point in time.
-
B.
pilgrimageDate
chosen
Indicates the date on which a pilgrimage takes place or is scheduled to occur.
-
C.
pilgrimageObject
Indicates that something serves as the destination, focus, or goal of a religious pilgrimage.
-
D.
hasPilgrimageDuration
Indicates the length of time associated with completing a particular pilgrimage.
-
E.
pilgrimageAssociatedWith
Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6760cbbcc81908cb6522f8eb38000 |
completed | May 2, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:41 p.m.