Triple
T17153996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathedral of St. Rumbold, Mechelen |
E416294
|
entity |
| Predicate | belfryType |
P48866
|
FINISHED |
| Object | civic and religious belfry |
—
|
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: civic and religious belfry | Statement: [Cathedral of St. Rumbold, Mechelen, belfryType, civic and religious belfry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belfryType Context triple: [Cathedral of St. Rumbold, Mechelen, belfryType, civic and religious belfry]
-
A.
belfryListedAs
Indicates that a belfry is officially recorded or registered under a particular listing or designation.
-
B.
bellFoundry
Indicates that an entity operates as a foundry where bells are manufactured or cast.
-
C.
bellTowerStyle
chosen
Indicates the architectural style or design type of a bell tower in relation to a building or structure.
-
D.
carillonType
Indicates the specific kind or classification of a carillon associated with an entity.
-
E.
bellfounder
Indicates the role or activity of making, casting, or founding bells.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f4092c40819096359ff90af16c3e |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.