Triple
T19081132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapel of the Apparitions |
E467033
|
entity |
| Predicate | pilgrimagePeakDates |
P134281
|
FINISHED |
| Object | 13 May |
—
|
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: 13 May | Statement: [Chapel of the Apparitions, pilgrimagePeakDates, 13 May]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimagePeakDates Context triple: [Chapel of the Apparitions, pilgrimagePeakDates, 13 May]
-
A.
pilgrimageDate
Indicates the date on which a pilgrimage takes place or is scheduled to occur.
-
B.
pilgrimageSeason
Indicates the time period or season during which religious pilgrimages customarily take place.
-
C.
hasPilgrimagePeak
Indicates that a place or route is associated with a specific peak that serves as a destination or focal point for religious or spiritual pilgrimage.
-
D.
pilgrimsPerDayOnPeakDays
Indicates the number of pilgrims present or arriving each day during the busiest or peak pilgrimage days.
-
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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e8f8148190942cca6dd3e30caf |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.