Triple
T14222715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sint-Janskerk |
E352536
|
entity |
| Predicate | hasWindowTheme |
P62774
|
FINISHED |
| Object | biblical scenes |
—
|
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: biblical scenes | Statement: [Sint-Janskerk, hasWindowTheme, biblical scenes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWindowTheme Context triple: [Sint-Janskerk, hasWindowTheme, biblical scenes]
-
A.
supportsThemingSystem
Indicates that an entity is compatible with and can operate using a theming system for customizable appearance or style.
-
B.
hasThemeType
chosen
Indicates that something is associated with or characterized by a particular thematic category or type.
-
C.
hasRoseWindow
Indicates that an entity features or includes a rose window as part of its structure.
-
D.
supportsWindowSystem
Indicates that one entity provides compatibility with, or operational support for, a particular windowing system used to manage graphical user interfaces.
-
E.
hasWindowsShape
Indicates that an object possesses a particular geometric or stylistic form characteristic of windows.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6227c288819081473ce44f9f0934 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:06 a.m.