Triple
T3295764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalwaria Zebrzydowska |
E69210
|
entity |
| Predicate | pilgrimageTraditionSince |
P34142
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [Kalwaria Zebrzydowska, pilgrimageTraditionSince, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimageTraditionSince Context triple: [Kalwaria Zebrzydowska, pilgrimageTraditionSince, 17th century]
-
A.
pilgrimagePractice
Indicates that an entity engages in, prescribes, or is associated with the religious act of undertaking a pilgrimage as a spiritual practice.
-
B.
historicalPeriodOfPilgrimage
chosen
Indicates the historical period during which a given pilgrimage took place or was practiced.
-
C.
pilgrimageImportance
Indicates the degree to which something holds religious or spiritual significance as a destination or object of pilgrimage.
-
D.
pilgrimageAssociatedWith
Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
-
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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb077c60c81909782be5202ce5a43 |
completed | March 8, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69ada42407dc81909f60d7a14e1b7934 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.