Triple
T12300216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oni Synagogue |
E293198
|
entity |
| Predicate | hasWindowsShape |
P104339
|
FINISHED |
| Object | arched |
—
|
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: arched | Statement: [Oni Synagogue, hasWindowsShape, arched]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWindowsShape Context triple: [Oni Synagogue, hasWindowsShape, arched]
-
A.
supportsWindowedMode
Indicates that an entity provides or allows operation in a windowed (non-fullscreen) display mode.
-
B.
hasShapeModel
Indicates that an entity is associated with a specific geometric or structural shape model that represents its form.
-
C.
hasWallShape
Indicates that an entity possesses a wall whose form or outline matches a specified geometric or structural shape.
-
D.
hasHemShape
Indicates that an item possesses a specific form or contour of its hem or lower edge.
-
E.
supportsWindowSystem
Indicates that one entity provides compatibility with, or operational support for, a particular windowing system used to manage graphical user interfaces.
- F. None of above. chosen
Provenance (4 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.