Triple
T16160754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auch Cathedral |
E392169
|
entity |
| Predicate | numberOfStainedGlassWindows |
P39764
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [Auch Cathedral, numberOfStainedGlassWindows, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStainedGlassWindows Context triple: [Auch Cathedral, numberOfStainedGlassWindows, 18]
-
A.
numberOfStainedGlassPanels
chosen
Indicates the count of stained glass panels associated with a given entity or object.
-
B.
hasStainedGlass
Indicates that one entity possesses or features stained glass as part of its structure or design.
-
C.
numberOfGlassPanes
Indicates the quantity of individual glass panes associated with or contained in an object or structure.
-
D.
stainedGlassArtist
Indicates that one entity is a stained glass artist who creates or designs stained glass works in relation to another entity.
-
E.
hasStainedGlassManufacturer
Indicates that one entity serves as the manufacturer responsible for producing the stained glass associated with another entity.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5f0cb48190aae995d88382e055 |
completed | April 17, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.