Triple
T20009290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cotswold vernacular architecture |
E494544
|
entity |
| Predicate | characteristicWindowType |
P8656
|
FINISHED |
| Object | stone mullioned windows |
—
|
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: stone mullioned windows | Statement: [Cotswold vernacular architecture, characteristicWindowType, stone mullioned windows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characteristicWindowType Context triple: [Cotswold vernacular architecture, characteristicWindowType, stone mullioned windows]
-
A.
windowType
chosen
Indicates the specific kind or category of window associated with an entity.
-
B.
doorAndWindowDetail
Indicates a relationship that specifies detailed characteristics or features shared by both doors and windows.
-
C.
glazingType
Indicates the type or configuration of glazing (such as single, double, or special coatings) used in or applied to an element.
-
D.
windowMaterial
Indicates the material from which a window is made or constructed.
-
E.
doorType
Indicates the specific kind or category of door associated with an 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a81c5881909692fcaaf59a57c9 |
completed | April 20, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:33 p.m.