Triple
T24656762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevelaer |
E610413
|
entity |
| Predicate | annualPilgrimNumberApproximate |
P45240
|
FINISHED |
| Object | around 800,000 |
—
|
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: around 800,000 | Statement: [Kevelaer, annualPilgrimNumberApproximate, around 800,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annualPilgrimNumberApproximate Context triple: [Kevelaer, annualPilgrimNumberApproximate, around 800,000]
-
A.
pilgrimsPerYearApprox
chosen
Indicates an approximate number of pilgrims who travel to a place within a year.
-
B.
pilgrimsPerDay
Indicates the number of pilgrims associated with a place, route, or event during a single day.
-
C.
pilgrimsPerDayOnPeakDays
Indicates the number of pilgrims present or arriving each day during the busiest or peak pilgrimage days.
-
D.
pilgrimFootfall
Indicates the occurrence or trace of a pilgrim’s steps or movement along a path or at a specific place.
-
E.
hasPilgrims
Indicates that an entity is associated with or contains pilgrims, typically as visitors, members, or participants 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_69e2c4d453248190a020354e93ef6282 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:34 a.m.