Triple
T11274033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loreto, Italy |
E266884
|
entity |
| Predicate | pilgrimagePeakPeriod |
P32543
|
FINISHED |
| Object | Marian feast days |
—
|
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: Marian feast days | Statement: [Loreto, Italy, pilgrimagePeakPeriod, Marian feast days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimagePeakPeriod Context triple: [Loreto, Italy, pilgrimagePeakPeriod, Marian feast days]
-
A.
pilgrimageSeason
chosen
Indicates the time period or season during which religious pilgrimages customarily take place.
-
B.
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.
-
C.
pilgrimageDate
Indicates the date on which a pilgrimage takes place or is scheduled to occur.
-
D.
historicalPeriodOfPilgrimage
Indicates the historical period during which a given pilgrimage took place or was practiced.
-
E.
pilgrimageFrequency
Indicates how often an entity undertakes or participates in a pilgrimage.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e965c9048190804ebb48f0a4817b |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:31 p.m.