Triple
T2731525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Room of the Three Windows |
E60324
|
entity |
| Predicate | hasFloorPlanShape |
P41702
|
FINISHED |
| Object | rectangular |
—
|
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: rectangular | Statement: [Room of the Three Windows, hasFloorPlanShape, rectangular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFloorPlanShape Context triple: [Room of the Three Windows, hasFloorPlanShape, rectangular]
-
A.
floorPlanType
Indicates the specific layout or configuration category that a floor plan belongs to (e.g., studio, 1-bedroom, open-plan).
-
B.
floorPlan
Indicates that one entity serves as the architectural layout or room arrangement blueprint for another entity (such as a building or space).
-
C.
hasFloorArea
Indicates that an entity possesses a specified amount of floor space as a measurable area.
-
D.
hasWallShape
Indicates that an entity possesses a wall whose form or outline matches a specified geometric or structural shape.
-
E.
buildingShape
Indicates the geometric form or outline that characterizes a building’s overall structure.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaee29088190bc4c734e48995794 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd968b2148190929af432c9d8001f |
completed | March 7, 2026, 7:53 a.m. |
Created at: March 6, 2026, 9:56 p.m.